1: (-6,0) "Connectivity Versus Entropy" by Abu-Mostafa, Y.
2: (21,22) "Stochastic Learning Networks and their Electronic Implementation" by Allen, R., Alspector, J., Hu, V., Satyanarayana, S.
3: (-10,21) "Learning on a General Network" by Atiya, A.
4: (-16,7) "An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification" by Atlas, L., Homma, T., Marks, R.
5: (-3,21) "On Properties of Networks of Neuron-Like Elements" by Baldi, P., Venkatesh, S.
6: (2,9) "Supervised Learning of Probability Distributions by Neural Networks" by Baum, E., Wilczek, F.
7: (-18,-42) "Centric Models of the Orientation Map in Primary Visual Cortex" by Baxter, W., Dow, B.
8: (26,44) "Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems" by Bernasconi, J.
9: (-35,-22) "Simulations Suggest Information Processing Roles for the Diverse Currents in Hippocampal Neurons" by Borg-Graham, L.
10: (-11,-11) "Optimal Neural Spike Classification" by Atiya, A., Bower, J.
11: (-18,19) "Neural Networks for Template Matching: Application to Real-Time Classification of the Action Potentials of Real Neurons" by Banik, J., Bower, J., Wong, Y.
12: (-51,-20) "A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information" by Bower, J., Wilson, M.
13: (-8,19) "Neural Network Implementation Approaches for the Connection Machine" by Brown, N.
14: (-14,16) "On the Power of Neural Networks for Solving Hard Problems" by Bruck, J., Goodman, J.
15: (-9,15) "Speech Recognition Experiments with Perceptrons" by Burr, D.
16: (-21,-14) "Presynaptic Neural Information Processing" by Carley, L.
17: (-5,-24) "Mathematical Analysis of Learning Behavior of Neuronal Models" by Cheung, J., Omidvar, M.
18: (-2,6) "A Neural Network Classifier Based on Coding Theory" by Chiueh, T., Goodman, R.
19: (-5,-4) "The Capacity of the Kanerva Associative Memory is Exponential" by Chou, P.
20: (-21,-16) "Phase Transitions in Neural Networks" by Chover, J.
21: (-29,3) "New Hardware for Massive Neural Networks" by Coon, D., Perera, A.
22: (-9,-8) "High Density Associative Memories" by Dembo, A., Zeitouni, O.
23: (-2,12) "Network Generality, Training Required, and Precision Required" by Denker, J., Wittner, B.
24: (-7,10) "'Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons" by Derthick, M., Tebelskis, J.
25: (-7,2) "High Order Neural Networks for Efficient Associative Memory Design" by Dreyfus, G., Guyon, I., Nadal, J., Personnaz, L.
26: (-18,-17) "The Sigmoid Nonlinearity in Prepyriform Cortex" by Eeckman, F.
27: (-6,-8) "Hierarchical Learning Control--An Approach with Neuron-Like Associative Memories" by Ersu, E., Tolle, H.
28: (-5,-12) "On Tropistic Processing and Its Applications" by Fernandez, M.
29: (-25,-17) "Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons" by Fetz, E.
30: (-12,4) "The Hopfield Model with Multi-Level Neurons" by Fleisher, M.
31: (-17,0) "Cycles: A Simulation Tool for Studying Cyclic Neural Networks" by Gately, M.
32: (-13,-5) "Temporal Patterns of Activity in Neural Networks" by Gaudiano, P.
33: (-3,17) "Encoding Geometric Invariances in Higher-Order Neural Networks" by Giles, C., Griffin, R., Maxwell, T.
34: (-4,4) "Probabilistic Characterization of Neural Model Computations" by Golden, R.
35: (-7,-26) "Partitioning of Sensory Data by a Cortical Network" by Ambros-Ingerson, J., Granger, R., Henry, H., Lynch, G.
36: (-7,17) "The Connectivity Analysis of Simple Association" by Hammerstrom, D.
37: (4,3) "Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals" by Burr, D., Hanson, S.
38: (7,44) "Learning Representations by Recirculation" by Hinton, G., McClelland, J.
39: (-31,-6) "Schema for Motor Control Utilizing a Network Model of the Cerebellum" by Houk, J.
40: (-17,3) "Experimental Demonstrations of Optical Neural Computers" by Brady, D., Hsu, K., Psaltis, D.
41: (4,29) "Neural Net and Traditional Classifiers" by Huang, W., Lippmann, R.
42: (-12,2) "An Optimization Network for Matrix Inversion" by Jang, J., Lee, S., Shin, S.
43: (-15,-14) "How the Catfish Tracks Its Prey: An Interactive 'Pipelined' Processing System May Direct Foraging via Reticulospinal Neurons" by Kanwal, J.
44: (-17,13) "Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models" by Keeler, J.
45: (-10,-10) "Computing Motion Using Resistive Networks" by Hutchinson, J., Koch, C., Luo, J., Mead, C.
46: (-2,69) "Performance Measures for Associative Memories that Learn and Forget" by Kuh, A.
47: (-11,38) "How Neural Nets Work" by Farber, R., Lapedes, A.
48: (-18,-19) "Distributed Neural Information Processing in the Vestibulo-Ocular System" by Honrubia, V., Lau, C.
49: (-11,-15) "Spontaneous and Information-Triggered Segments of Series of Human Brain Electric Field Maps" by Brandeis, D., Horst, A., Lehmann, D., Ozaki, H., Pal, I.
50: (-2,8) "Optimization with Artificial Neural Network Systems: A Mapping Principle and a Comparison to Gradient Based Methods" by Leong, H.
51: (-25,5) "Towards an Organizing Principle for a Layered Perceptual Network" by Linsker, R.
52: (-6,-4) "Reflexive Associative Memories" by Loos, H.
53: (-15,45) "Connecting to the Past" by MacDonald, B.
54: (-12,2) "Microelectronic Implementations of Connectionist Neural Networks" by Denker, J., Graf, H., Mackie, S., Schwartz, D.
55: (-22,15) "Basins of Attraction for Electronic Neural Networks" by Marcus, C., Westervelt, R.
56: (-19,24) "The Performance of Convex Set Projection Based Neural Networks" by Atlas, L., Marks, R., Oh, S., Ritcey, J.
57: (28,20) "MURPHY: A Robot that Learns by Doing" by Mel, B.
58: (-9,7) "Stability Results for Neural Networks" by Farrell, J., Michel, A., Porod, W.
59: (-25,-2) "Programmable Synaptic Chip for Electronic Neural Networks" by Khanna, S., Langenbacher, H., Moopenn, A., Thakoor, A.
60: (-20,17) "Bit-Serial Neural Networks" by Butler, Z., Murray, A., Smith, A.
61: (-7,-4) "Phasor Neural Networks" by Noest, A.
62: (-35,34) "A Trellis-Structured Neural Network" by Dickinson, B., Petsche, T.
63: (-9,31) "Generalization of Backpropagation to Recurrent and Higher Order Neural Networks" by Pineda, F.
64: (2,-4) "Constrained Differential Optimization" by Barr, A., Platt, J.
65: (-1,-4) "Learning a Color Algorithm from Examples" by Hurlbert, A., Poggio, T.
66: (-2,33) "Static and Dynamic Error Propagation Networks with Application to Speech Coding" by Fallside, F., Robinson, A.
67: (51,-2) "Learning by State Recurrence Detection" by Goodwin, J., Rosen, B., Vidal, J.
68: (-3,0) "Scaling Properties of Coarse-Coded Symbol Memories" by Rosenfeld, R., Touretzky, D.
69: (-24,-13) "An Adaptive and Heterodyne Filtering Procedure for the Imaging of Moving Objects" by Mastebroek, H., Schuling, F., Zaagman, W.
70: (-10,3) "Pattern Class Degeneracy in an Unrestricted Storage Density Memory" by Cooper, L., Elbaurn, C., Reilly, D., Scofield, C.
71: (-33,-5) "A Mean Field Theory of Layer IV of Visual Cortex and Its Application to Artificial Neural Networks" by Scofield, C.
72: (-16,47) "Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems" by Macy, S., Shepanski, J.
73: (-24,-25) "Discovering Structure from Motion in Monkey, Man and Machine" by Siegel, R.
74: (-23,2) "Time-Sequential Self-Organization of Hierarchical Neural Networks" by Noetzel, A., Silverman, R.
75: (-47,7) "A Computer Simulation of Cerebral Neocortex: Computational Capabilities of Nonlinear Neural Networks" by Donoghue, J., Singer, A.
76: (-8,13) "Analysis of Distributed Representation of Constituent Structure in Connectionist Systems" by Smolensky, P.
77: (-19,21) "Spatial Organization of Neural Networks: A Probabilistic Modeling Approach" by Dikaiakos, M., Kontoravdis, D., Stafylopatis, A.
78: (-20,12) "A Dynamical Approach to Temporal Pattern Processing" by Hogg, T., Huberman, B., Stornetta, W.
79: (-1,6) "A Novel Net that Learns Sequential Decision Process" by Chen, H., Lee, Y., Sun, G.
80: (4,-5) "Self-Organization of Associative Database and Its Applications" by Arimoto, S., Suzuki, H.
81: (-17,5) "A Neural-Network Solution to the Concentrator Assignment Problem" by Page, E., Tagliarini, G.
82: (-10,-16) "Using Neural Networks to Improve Cochlear Implant Speech Perception" by Tenorio, M.
83: (-16,81) "A 'Neural' Network that Learns to Play Backgammon" by Sejnowski, T., Tesauro, G.
84: (-27,13) "Introduction to a System for Implementing Neural Net Connections on SIMD Architectures" by Tomboulian, S.
85: (-11,8) "Neuromorphic Networks Based on Sparse Optical Orthogonal Codes" by Salehi, J., Vecchi, M.
86: (-15,-9) "Synchronization in Neural Nets" by Haggerty, J., Vidal, J.
87: (-7,-10) "Invariant Object Recognition Using a Distributed Associative Memory" by Wechsler, H., Zimmerman, G.
88: (-27,67) "Learning in Networks of Nondeterministic Adaptive Logic Elements" by Windecker, R.
89: (6,11) "Strategies for Teaching Layered Networks Classification Tasks" by Denker, J., Wittner, B.
90: (-13,-2) "A Method for the Design of Stable Lateral Inhibition Networks that is Robust in the Presence of Circuit Parasitics" by Standley, D., Wyatt, J.
91: (-1,30) "Constraints on Adaptive Networks for Modeling Human Generalization" by Gluck, M., Henkle, V., Pavel, M.
92: (-8,23) "An Optimality Principle for Unsupervised Learning" by Sanger, T.
93: (-1,18) "Associative Learning via Inhibitory Search" by Ackley, D.
94: (17,14) ""Fast Learning in Multi-Resolution Hierarchies'" by Moody, J.
95: (34,26) "Efficient Parallel Learning Algorithms for Neural Networks" by Kramer, A., Sangiovanni-Vincentelli, A.
96: (-6,23) "Mapping Classifier Systems Into Neural Networks" by Davis, L.
97: (0,-1) "Self Organizing Neural Networks for the Identification Problem" by Lee, W., Tenorio, M.
98: (6,1) "Linear Learning: Landscapes and Algorithms" by Baldi, P.
99: (7,30) "Learning by Choice of Internal Representations" by Domany, E., Grossman, T., Meir, R.
100: (13,21) "What Size Net Gives Valid Generalization?" by Baum, E., Haussler, D.
101: (0,-7) "Optimization by Mean Field Annealing" by Bilbro, G., Mann, R., Miller, T., Snyder, W., VandenBout, D., White, M.
102: (-3,34) "Connectionist Learning of Expert Preferences by Comparison Training" by Tesauro, G.
103: (-12,73) "Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment" by Mozer, M., Smolensky, P.
104: (-9,33) "The Boltzmann Perceptron Network: A Multi-Layered Feed-Forward Network Equivalent to the Boltzmann Machine" by Gersho, A., Yair, E.
105: (-5,16) "Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise" by Beckman, P., Lippmann, R.
106: (5,11) "Training Multilayer Perceptrons with the Extended Kalman Algorithm" by Singhal, S., Wu, L.
107: (-3,36) "GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection" by Galland, C., Hinton, G., LeCun, Y.
108: (6,60) "Fixed Point Analysis for Recurrent Networks" by Ballard, D., Oftaway, M., Simard, P.
109: (1,31) "Scaling and Generalization in Neural Networks: A Case Study" by Ahmad, S., Tesauro, G.
110: (6,16) "Does the Neuron 'Learn' Like the Synapse?" by Tawel, R.
111: (5,16) "Comparing Biases for Minimal Network Construction with Back-Propagation" by Hanson, S., Pratt, L.
112: (-19,-11) "An Application of the Principle of Maximum Information Preservation to Linear Systems" by Linsker, R.
113: (9,-5) "Learning with Temporal Derivatives in Pulse-Coded Neuronal Systems" by Gluck, M., Parker, D., Reifsnider, E.
114: (-6,32) "Applications of Error Back-Propagation to Phonetic Classification" by Leung, H., Zue, V.
115: (-6,29) "Consonant Recognition by Modular Construction of Large Phonemic Time-Delay Neural Networks" by Waibel, A.
116: (-6,6) "Use of Multi-Layered Networks for Coding Speech with Phonetic Features" by Bengio, Y., Cardin, R., Cosi, P., De-Mori, R.
117: (-6,32) "Speech Production Using A Neural Network with a Cooperative Learning Mechanism" by Komura, M., Tanaka, A.
118: (-25,21) "Temporal Representations in a Connectionist Speech System" by Smythe, E.
119: (-7,15) "A Connectionist Expert System that Actually Works" by Bradshaw, G., Ceci, L., Fozzard, R.
120: (4,4) "An Information Theoretic Approach to Rule-Based Connectionist Expert Systems" by Goodman, R., Miller, J., Smyth, P.
121: (-3,-2) "Neural Approach for TV Image Compression Using a Hopfield Type Network" by Naillon, M., Theeten, J.
122: (-7,10) "Neural Net Receivers in Multiple-Access Communications" by Aazhang, B., Orsak, G., Paris, B., Varanasi, M.
123: (-6,11) "Performance of Synthetic Neural Network Classification of Noisy Radar Signals" by Ahalt, S., Garber, F., Jouny, I., Krishnamurthy, A.
124: (-20,-4) "Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision" by Cunningham, R., Seibert, M., Waxman, A., Wu, J.
125: (-5,-12) "A Network for Image Segmentation Using Color" by Hurlbert, A., Poggio, T.
126: (-28,48) "ALVINN: An Autonomous Land Vehicle in a Neural Network" by Pomerleau, D.
127: (-11,3) "Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control" by Alvelda, P., SanMartin, A.
128: (-9,5) "Neural Network Recognizer for Hand-Written Zip Code Digits" by Baird, H., Denker, J., Gardner, W., Graf, H., Guyon, I., Henderson, D., Howard, R., Hubbard, W., Jackel, L.
129: (-5,20) "Neural Networks that Learn to Discriminate Similar Kanji Characters" by Mori, Y., Yokosawa, K.
130: (-12,16) "Backpropagation and Its Application to Handwritten Signature Verification" by Goodman, J., Mighell, D., Wilkinson, T.
131: (-8,-13) "Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter" by Mel, B.
132: (-9,13) "Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II" by Goldberg, K., Pearlmutter, B.
133: (-19,-12) "Neuronal Maps for Sensory-Motor Control in the Barn Owl" by Gelfand, J., Pearson, J., Peterson, R., Spence, C., Sullivan, W.
134: (-21,-24) "Models of Ocular Dominance Column Formation: Analytical and Computational Results" by Keller, J., Miller, K., Stryker, M.
135: (-25,-7) "Modeling Small Oscillating Biological Networks in Analog VLSI" by Bower, J., Mead, C., Ryckebusch, S.
136: (-24,-7) "Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus" by Sejnowski, T., Stanton, P.
137: (-25,-21) "Modeling the Olfactory BulbsCoupled Nonlinear Oscillators" by Hopfield, J., Li, Z.
138: (-13,-20) "Neural Control of Sensory Acquisition: The Vestibulo-Ocular Reflex" by Bower, J., Nelson, M., Paulin, M.
139: (-43,-15) "Computer Modeling of Associative Learning" by Alkon, D., Quek, F., Vogl, T.
140: (-9,-13) "Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish" by Assad, C., Bower, J., Nelson, M., Rasnow, B.
141: (-7,-16) "A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation" by Miller, J., Zhang, J.
142: (-12,-14) "Theory of Self-Organization of Cortical Maps" by Tanaka, S.
143: (-7,2) "A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex" by Baird, B.
144: (-30,-5) "Learning the Solution to the Aperture Problem for Pattern Motion with a Hebb Rule" by Sereno, M.
145: (-21,-31) "A Computationally Robust Anatomical Model for Retinal Directional Selectivity" by Arethor, F., Grzywacz, N.
146: (-15,-4) "GENESIS: A System for Simulating Neural Networks" by Bhalla, U., Bower, J., Uhley, J., Wilson, M.
147: (-2,29) "Training a 3-Node Neural Network is NP-Complete" by Blum, A., Rivest, R.
148: (2,3) "Links Between Markov Models and Multilayer Percepttons" by Bourlard, H., Wellekens, C.
149: (-7,11) "Convergence and Pattern-Stabilization in the Boltzmann Machine" by Cheng, R., Karo, M.
150: (6,29) "A Back-Propagation Algorithm with Optimal Use of Hidden Units" by Chauvin, Y.
151: (-6,11) "Implications of Recursive Distributed Representations" by Pollack, J.
152: (0,1) "A Massively Parallel Self-Tuning Context-Free Parser" by Santos, E.
153: (-18,12) "Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding" by Dyer, M., Lange, T.
154: (-6,3) "Spreading Activation over Distributed Microfeatures" by Hendler, J.
155: (-23,-7) "A Model of Neural Oscillator for a Unified Submodule" by Borisyuk, G., Borisyuk, R., Chulaevsky, V., Kirillov, A., Kovalenko, Y., Kryukov, V., Makarenko, V.
156: (-27,17) "Dynamics of Analog Neural Networks with Time Delay" by Marcus, C., Westervelt, R.
157: (-17,-6) "Heterogeneous Neural Networks for Adaptive Behavior in Dynamic Environments" by Beer, R., Chiel, H., Sterling, L.
158: (7,-9) "Statistical Prediction with Kanerva's Sparse Distributed Memory" by Rogers, D.
159: (0,-15) "Range Image Restoration Using Mean Field Annealing" by Bilbro, G., Snyder, W.
160: (-8,14) "Automatic Local Annealing" by Leinbach, J.
161: (-12,-17) ""NeurolocatoF', A Model of Attention" by Kryukov, V.
162: (-2,-22) "Neural Networks for Model Matching and Perceptual Organization" by Anandan, P., Gindi, G., Mjolsness, E.
163: (-9,-4) "Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks" by Touretzky, D.
164: (-15,13) "On the K-Winners-Take-All Network" by Abu-Mostafa, Y., Erlanson, R., Majani, E.
165: (-9,34) "Learning Sequential Structure in Simple Recurrent Networks" by Cleeremans, A., McClelland, J., Servan-Schreiber, D.
166: (-10,11) "An Adaptive Network That Learns Sequences of Transitions" by Winter, C.
167: (-13,-33) "A Passive Shared Element Analog Electrical Cochlea" by Eisenberg, J., Feld, D., Lewis, E.
168: (-20,-2) "Programmable Analog Pulse-Firing Neural Networks" by Hamilton, A., Murray, A., Tarassenko, L.
169: (-23,-1) "A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons" by Cole, C., Meador, J.
170: (-9,-8) "An Analog VLSI Chip for Thin-Plate Surface Interpolation" by Harris, J.
171: (-22,2) "Analog Implementation of Shunting Neural Networks" by Darling, R., Nabet, B., Pinter, R.
172: (-23,-8) "Winner-Take-All Networks of O(N) Complexity" by Lazzaro, J., Mahowald, M., Mead, C., Ryckebusch, S.
173: (-25,-2) "A Programmable Analog Neural Computer and Simulator" by Blackman, D., Chiu, T., Clare, T., Dao, J., Donham, C., Hsieh, T., Loinaz, M., Mueller, P., VanderSpiegel, J.
174: (-20,-15) "An Electronic Photoreceptor Sensitive to Small Changes in Intensity" by Delbruck, T., Mead, C.
175: (-10,9) "Digital Realisation of Self-Organising Maps" by Allinson, N., Johnson, M., Moon, K.
176: (-15,3) "An Analog Self-Organizing Neural Network Chip" by Gilbert, S., Mann, J.
177: (8,37) "Performance of a Stochastic Learning Microchip" by Allen, R., Alspector, J., Gupta, B.
178: (-10,3) "Adaptive Neural Networks Using MOS Charge Storage" by Howard, R., Hubbard, W., Schwartz, D.
179: (-24,38) "A Self-Learning Neural Network" by Hartstein, A., Koch, R.
180: (-5,9) "Training a Limited-Interconnect, Synthetic Neural IC" by Afghan, A., Akers, L., Haghighi, S., Walker, M.
181: (-12,-15) "Electronic Receptors for Tactile/Haptic Sensing" by Andreou, A.
182: (-7,-11) "Neural Architecture" by Braitenberg, V.
183: (-6,-12) "Song Learning in Birds" by Konishi, M.
184: (-7,6) "Speech Recognition: Statistical and Neural Information Processing Approaches" by Bridle, J.
185: (-14,-15) "Cricket Wind Detection" by Miller, J.
186: (-13,-10) "Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images" by Simmons, J.
187: (-28,-23) "The Computation of Sound Source Elevation in the Barn Owl" by Pearson, J., Spence, C.
188: (-47,2) "Mechanisms for Neuromodulation of Biological Neural Networks" by Harris-Warrick, R.
189: (-48,2) "Neural Network Analysis of Distributed Representations of Dynamical Sensory- Motor Transformations in the Leech" by Fang, Y., Lockery, S., Sejnowski, T.
190: (-23,-16) "Reading a Neural Code" by Bialek, W., Rieke, F., Warland, D., de-Ruyter-van-Steveninck, R.
191: (-16,-8) "Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect" by Beer, R., Chiel, H.
192: (-26,-15) "Neural Network Simulation of Somatosensory Representational Plasticity" by Grajski, K., Merzenich, M.
193: (-13,-10) "Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?" by Bower, J., Nelson, M.
194: (-20,0) "Associative Memory in a Simple Model of Oscillating Cortex ........" by Baird, B.
195: (-29,-23) "Collective Oscillations in the Visual Cortex" by Holmes, P., Kammen, D., Koch, C.
196: (-29,-28) "Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks" by Bower, J., Wilson, M.
197: (-14,-24) "Development and Regeneration of Eye-Brain Maps: A Computational Model ." by Cowan, J., Friedman, A.
198: (-27,15) "The Effect of Catecholamines on Performance: From Unit to System Behavior" by Cohen, J., Printz, H., Servan-Schreiber, D.
199: (-23,-8) "Non-Boltzmann Dynamics in Networks of Spiking Neurons" by Bialek, W., Crair, M.
200: (-21,-25) "A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats" by Bower, J., Lee, M.
201: (-30,-22) "Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment" by Kammen, D., Softky, W.
202: (-23,-2) "Note on Development of Modularity in Simple Cortical Models" by Chemjavsky, A., Moody, J.
203: (-37,-13) "Effects of Firing Synchrony on Signal Propagation in Layered Networks" by Fetz, E., Kenyon, G., Puff, R.
204: (-40,-3) "A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes" by Rhodes, P.
205: (-10,-9) "Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net" by Tang, D.
206: (10,22) "Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems" by Lee, Y., Lippmann, R.
207: (-13,38) "Dimensionality Reduction and Prior Knowledge in E-Set Recognition" by Hinton, G., Lang, K.
208: (0,12) "A Continuous Speech Recognition System Embedding MLP into HMM" by Bourlard, H., Morgan, N.
209: (2,12) "HMM Speech Recognition with Neural Net Discrimination" by Huang, W., Lippmann, R.
210: (-16,25) "Connectionist Architectures for Multi-Speaker Phoneme Recognition" by Hampshire, J., Waibel, A.
211: (0,16) "Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters" by Bridle, J.
212: (-13,28) "Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge" by Bengio, Y., Cardin, R., De-Mori, R.
213: (-3,-3) "The Effects of Circuit Integration on a Feature Map Vector Quantizer" by Mann, J.
214: (-11,7) "Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility" by Goldstein, M., Jenkins, R., Sejnowski, T., Yuhas, B.
215: (-13,16) "Using A Translation-Invariant Neural Network to Diagnose Heart Arrhythmia." by Lee, S.
216: (-11,21) "A Neural Network for Real-Time Signal Processing" by Malkoff, D.
217: (-10,4) "Learning Aspect Graph Representations from View Sequences" by Seibert, M., Waxman, A.
218: (-11,18) "TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations" by Hinton, G., Mozer, M., Zemel, R.
219: (-12,3) "A Self-Organizing Multiple-View Representation of 3D Objects" by Btilthoff, H., Edelman, S., Weinshall, D.
220: (-8,-19) "Contour-Map Encoding of Shape for Early Vision" by Kanerva, P.
221: (-16,-19) "Neurally Inspired Plasticity in Oculomotor Processes" by Viola, P.
222: (-1,-24) "Model Based Image Compression and Adaptive Data Representation by Interacting Filter Banks" by Inui, T., Kawato, M., Miyake, S., Okamoto, T.
223: (-11,-11) "Neuronal Group Selection Theory: A Grounding in Robotics" by Donnett, J., Smithers, T.
224: (-6,20) "Using Local Models to Control Movement" by Atkeson, C.
225: (30,-6) "Learning to Control an Unstable System with Forward Modeling" by Jacobs, R., Jordan, M.
226: (-12,-5) "A Self-organizing Associative Memory System for Control Applications" by Hormel, M.
227: (-1,20) "Operational Fault Tolerance of CMAC Networks" by Carter, M., Nucci, A., Rudolph, F.
228: (-2,15) "Neural Network Weight Matrix Synthesis Using Optimal Control Techniques" by Dembo, A., Farotimi, O., Kailath, T.
229: (-5,0) "Generalized Hopfield Networks and Nonlinear Optimization ........" by Reklaitis, G., Tenorio, M., Tsirukis, A.
230: (-19,44) "Incremental Parsing by Modular Recurrent Connectionist Networks" by Jain, A., Waibel, A.
231: (-4,-14) "A Computational Basis for Phonology" by Touretzky, D., Wheeler, D.
232: (-9,22) "Higher Order Recurrent Networks and Grammatical Inference" by Chen, D., Chen, H., Giles, C., Lee, Y., Sun, G.
233: (14,-22) "Bayesian Inference of Regular Grammar and Markov Source Models" by Miller, M., Smith, K.
234: (-10,27) "Handwritten Digit Recognition with a Back-Propagation Network" by Boser, B., Denker, J., Henderson, D., Howard, R., Hubbard, W., Jackel, L., LeCun, Y.
235: (6,26) "Recognizing Hand-Printed Letters and Digits" by Martin, G., Pittman, J.
236: (-13,24) "A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters" by Joe, K., Mori, Y.
237: (-11,2) "A Neural Network to Detect Homologies in Proteins" by Agin, P., Bengio, S., Bengio, Y., Pouliot, Y.
238: (-2,19) "Rule Representations in a Connectionist Chunker" by Elvgren, G., Touretzky, D.
239: (-1,21) "Discovering the Structure of a Reactive Environment by Exploration" by Bachrach, J., Mozer, M.
240: (-3,32) "Designing Application-Specific Neural Networks Using the Genetic Algorithm" by Guha, A., Harp, S., Samad, T.
241: (-2,6) "Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms" by Rogers, D.
242: (-1,19) "Neural Network Visualizatio" by Tesauro, G., Wejchert, J.
243: (11,14) "Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning" by Koch, C., Mel, B.
244: (4,19) "Algorithms for Better Representation and Faster Learning in Radial Basis Function Network" by Keeler, J., Saha, A.
245: (13,9) "Learning in Higher-Order 'Artificial Dendritic Trees" by Bell, A.
246: (7,10) "Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks" by Barhen, J., Gulati, S., Toomarian, N.
247: (4,8) "Discovering High Order Features with Mean Field Module" by Galland, C., Hinton, G.
248: (12,37) "The CHIR Algorithm for Feed Forward Networks with Binary Weight" by Grossman, T.
249: (-1,65) "The Cascade-Correlation Learning Architectur" by Fahlman, S., Lebiere, C.
250: (4,15) "Meiosis Network" by Hanson, S.
251: (0,13) "The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN" by Kassebaum, J., Schaefers, C., Tenorio, M.
252: (19,12) "Generalization and Scaling in Reinforcement Learning" by Ackley, D., Littman, M.
253: (6,15) "The 'Moving Targets' Training Algorithm" by Rohwer, R.
254: (9,22) "Training Connectionist Networks with Queries and Selective Samplin" by Atlas, L., Cohn, D., Ladnet, R.
255: (1,26) "Maximum Likelihood Competitive Learning" by Nowlan, S.
256: (-3,-6) "Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach" by Toomarian, N., Zak, M.
257: (-6,-4) "A Method for the Associative Storage of Analog Vectors" by Abu-Mostafa, Y., Atiya, A.
258: (-1,23) "Optimal Brain Damage" by Denker, J., LeCun, Y., Solla, S.
259: (16,22) "Asymptotic Convergence of Backpropagation: Numerical Experiment" by Ahmad, S., He, Y., Tesauro, G.
260: (4,10) "Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem" by Blanz, W., Gish, S.
261: (5,14) "Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications" by Atlas, L., Barnard, E., Cole, R., Connor, J., El-Sharkawi, M., Marks, R., Muthusamy, Y.
262: (6,21) "Generalization and Parameter Estimation in Feedforward Nets: Some Experiments" by Bourlard, H., Morgan, N.
263: (-4,-5) "Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks" by Zipser, D.
264: (7,41) "Dynamic Behavior of Constrained Back-Propagation Networks" by Chauvin, Y.
265: (3,22) "Synergy of Clustering Multiple Back Propagation Networks" by Lincoln, W., Skrzypek, J.
266: (-2,-11) "Coupled Markov Random Fields and Mean Field Theory" by Geiger, D., Girosi, F.
267: (3,0) "Complexity of Finite Precision Neural Network Classifier" by Dembo, A., Kailath, T., Siu, K.
268: (31,-2) "The Perceptron Algorithm Is Fast for Non-Malicious Distributions" by Baum, E.
269: (36,-4) "Sequential Decision Problems and Neural Networks" by Barto, A., Sutton, R., Watkins, C.
270: (-5,-6) "Analysis of Linsker's Simulations of Hebbian Rules" by MacKay, D., Miller, K.
271: (-12,22) "Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions" by Obradovic, Z., Parberry, I.
272: (1,13) "Time Dependent Adaptive Neural Networks" by Pineda, F.
273: (-7,5) "A Neural Network for Feature Extraction" by Intrator, N.
274: (-1,-13) "On the Distribution of the Number of Local Minima of a Random Function on a Graph" by Baldi, P., Rinott, Y., Stein, C.
275: (23,19) "A Cost Function for Internal Representations" by Hertz, J., Krogh, A., Thorbergsson, C.
276: (-17,-20) "An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex" by DeWeerth, S., Mead, C.
277: (-11,-9) "Real-Time Computer Vision and Robotics Using Analog VLSI Circuits" by Bair, W., Harris, J., Horiuchi, T., Hsu, A., Koch, C., Luo, J.
278: (-35,15) "A Reconfigurable Analog VLSI Neural Network Chip" by Graf, H., Satyanarayana, S., Tsividis, Y.
279: (-22,5) "Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks" by Duong, T., Moopenn, A., Thakoor, A.
280: (-10,-5) "Analog Circuits for Conslxained Optimization" by Platt, J.
281: (-16,-5) "Pulse-Firing Neural Chips for Hundreds of Neurons" by Brownlow, M., Hamilton, A., Han, I., Murray, A., Reekie, H., Tarassenko, L.
282: (-13,-5) "VLSI Implementation of a High-Capacity Neural Network Associative Memor" by Chiueh, T., Goodman, R.
283: (-14,44) "An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2" by Mckenna, M., Mesirov, J., Waltz, D., Zhang, X.
284: (7,5) "Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays" by Fortes, J., Nunez, F.
285: (-15,13) "Dataflow Architectures: Flexible Platforms for Neural Network Simulatio" by Smotroff, I.
286: (-20,18) "Neural Networks: The Early Days" by Cowan, J.
287: (-12,-21) "Studies of a Model for the Development and Regeneration of Eye-Brain Map" by Cowen, J., Friedman, A.
288: (-15,-18) "Development and Spatial Structure of Cortical Feature Maps: A Model Stud" by Obermayer, K., Ritter, H., Schulten, K.
289: (-24,-36) "Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathway" by Tanaka, S.
290: (-7,-16) "Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patche" by Cowen, J., Friedman, A.
291: (-15,22) "A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Refle" by Anastasio, T.
292: (-19,-14) "Self-organization of Hebbian Synapses in Hippocampal Neurons ." by Brown, T., Claiborne, B., Mainen, Z., Zador, A.
293: (-15,-6) "Cholinergic Modulation May Enhance Cortical Associative Memory Function . ." by Anderson, B., Bower, J., Hasselmo, M.
294: (-11,-10) "Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons " by Abbott, L., Kepler, T., Marder, E.
295: (-12,0) "Stochastic Neurodynamics ." by Cowen, J.
296: (-5,0) "Dynamics of Learning in Recurrent Feature-Discovery Networks ." by Leen, T.
297: (-7,-6) "A Lagrangian Approach to Fixed Points ." by Miranker, W., Mjolsness, E.
298: (-28,-4) "Associative Memory in a Network of 'Biological' Neurons ." by Gerstner, W.
299: (-21,29) "CAM Storage of Analog Patterns and Continuous Sequences with 3N 2 Weights ." by Baird, B., Eeckman, F.
300: (-19,2) "Connection Topology and Dynamics in Lateral Inhibition Networks" by Marcus, C., Waugh, F., Westervelt, R.
301: (-4,9) "Shaping the State Space Landscape in Recurrent Networks ." by Raysz, J., Simard, P., Victorri, B.
302: (0,6) "Adjoint-Functions and Temporal Learning Algorithms in Neural Networks" by Barhen, J., Toomarian, N.
303: (-14,-12) "Phase-coupling in Two-Dimensional Networks of Interacting Oscillators . . ." by Kammen, D., Koch, C., Niebur, E., Ruderman, D., Schuster, H.
304: (-10,-8) "Oscillation Onset in Neural Delayed Feedback ." by Longtin, A.
305: (-18,-20) "Analog Computation at a Critical Point ." by Bialek, W., Kruglyak, L.
306: (-16,29) "Modeling Time Varying Systems Using Hidden Control Neural Architecture" by Levin, E.
307: (-17,34) "The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning ." by Bodenhausen, U., Waibel, A.
308: (-8,-6) "A Theory for Neural Networks with Time Delays" by Principe, J., de-Vries, B.
309: (-6,29) "ART2/BP Architecture for Adaptive Estimation of Dynamic Processes" by Sorheim, E.
310: (-11,0) "Statistical Mechanics of Temporal Association in Neural Networks" by Herz, A., Li, Z., vanHemmen, J.
311: (24,-3) "Learning Time-varying Concepts ." by Kuh, A., Petsche, T., Rivest, R.
312: (-4,60) "The Recurrent Cascade-Correlation Architecture ." by Fahlman, S.
313: (-8,14) "Continuous Speech Recognition by Linked Predictive Neural Networks ." by Petek, B., Schmidbauer, O., Tebelskis, J., Waibel, A.
314: (-28,62) "A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings ." by Allen, R., Kamm, C.
315: (-1,5) "Connectionist Approaches to the Use of Markov Models for Speech Recognition ." by Bourlard, H., Morgan, N., Wooters, C.
316: (-8,10) "Spoken Letter Recognition ." by Cole, R., Fanty, M.
317: (-2,3) "Speech Recognition Using Demi-Syllable Neural Prediction Model ." by Iso, K., Watanabe, T.
318: (-5,11) "RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition ." by Bridle, J., Cox, S.
319: (-4,3) "Exploratory Feature Extraction in Speech Signals ." by Intrator, N.
320: (-7,11) "Phonetic Classification and Recognition Using the Multi-Layer Perceptton ." by Glass, J., Leung, H., Phillips, M., Zue, V.
321: (-7,-1) "From Speech Recognition to Spoken Language Understanding ." by Glass, J., Goodine, D., Hirschman, L., Leung, H., Phillips, M., Polifroni, J., Seneft, S., Zue, V.
322: (-6,17) "Speech Recognition using Connectionist Approaches ." by Choukri, K.
323: (-20,28) "Natural Dolphin Echo Recognition Using an Integrator Gateway Network." by Moore, P., Nachtigall, P., Penner, R., Roitblat, H.
324: (-42,-1) "Signal Processing by Multiplexing and Demultiplexing in Neurons ." by Tam, D.
325: (-12,12) "Applications of Neural Networks in Video Signal Processing" by Pearson, J., Spence, C., Sverdlove, R.
326: (-2,13) "Discovering Viewpoint-Invariant Relationships That Characterize Objects" by Hinton, G., Zemel, R.
327: (-8,-7) "A Neural Network Approach for Three-Dimensional Object Recognition" by Tresp, V.
328: (-12,11) "A Second-Order Translation, Rotation and Scale Invariant Neural Network" by Goggin, S., Gustafson, K., Johnson, K.
329: (-22,-3) "Learning to See Rotation and Dilation with a Hebb Rule ." by Sereno, M., Sereno, M.
330: (-2,11) "Stereopsis by a Neural Network Which Learns the Constraints ." by Khotanzad, A., Lee, Y.
331: (-4,-7) "Grouping Contours by Iterated Pairing Network ." by Shashua, A., Ullman, S.
332: (-26,-30) "Neural Dynamics of Motion Segmentation and Grouping ." by Mingolla, E.
333: (-23,-19) "A Multiscale Adaptive Network Model of Motion Computation in Primates . . ." by Koch, C., Mathur, B., Wang, H.
334: (-6,-14) "Qualitative Structure From Motion ." by Weinshall, D.
335: (-12,-16) "Optimal Sampling of Natural Images ." by Bialek, W., Ruderman, D., Zee, A.
336: (-4,-12) "A VLSI Neural Network for Color Constancy ." by Allman, J., Fox, G., Goodman, R., Moore, A.
337: (-17,-19) "Optimal Filtering in the Salamander Retina ." by Bialek, W., Owen, W., Rieke, F.
338: (-22,-16) "A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina ." by Eeckman, F., Teeters, J., Werblin, F.
339: (-19,-23) "Feedback Synapse to Cone and Light Adaptation ." by Skrzypek, J.
340: (-13,-7) "An Analog VLSI Chip for Finding Edges from Zero-crossings ." by Bair, W., Koch, C.
341: (-16,-16) "A Delay-Line Based Motion Detection Chip ." by Horiuchi, T., Koch, C., Lazzaro, J., Moore, A.
342: (-10,15) "Neural Networks Structured for Control Application to Aircraft Landing ." by Chauvin, Y., Golden, R., Henkle, V., Schley, C.
343: (-12,1) "Real-time Autonomous Robot Navigation Using VLSI Neural Networks ." by Brownlow, M., Marshall, G., Murray, A., Tarassenko, L., Tombs, J.
344: (-23,42) "Rapidly Adapting Artificial Neural Networks for Autonomous Navigation " by Pomerleau, D.
345: (0,-10) "Learning Trajectory and Force Control of an Artifidal Muscle Arm " by Katayama, M., Kawato, M.
346: (-15,16) "Proximity Effect Corrections in Electron Beam Lithography ." by Cummings, K., Frye, R., Reitman, E.
347: (-7,10) "Planning with an Adaptive World Model ." by Linden, A., Moller, K., Thrun, S.
348: (1,-7) "A Connectionist Learning Control Architecture for Navigation ." by Bachrach, J.
349: (18,-2) "Navigating Through Temporal Difference ." by Dayan, P.
350: (48,-6) "Integrated Modeling and Control Based on Reinforcement Learning ." by Sutton, R.
351: (45,4) "A Reinforcement Learning Variant for Control Scheduling .." by Guha, A.
352: (2,-5) "Adaptive Range Coding ." by Goodwin, J., Rosen, B., Vidal, J.
353: (-13,11) "Neural Network Implementation of Admission Control .." by Guyon, I., Milito, R., Solla, S.
354: (-3,23) "Reinforcement Learning in Markovian and Non-Markovian Environments . . ." by Schmidhuber, J.
355: (-14,-25) "A Model of Distributed Sensorimotor Control in The Cockroach Escape Turn . ." by Beer, R., Chiel, H., Kacmarcik, G., Ritzmann, R.
356: (-34,16) "Flight Control in the Dragonfly: A Neurobiological Simulation ." by Faller, W., Luttges, M.
357: (-6,5) "A Novel Approach to Prediction of the 3-Dimensional Structures ." by Bohr, H., Bohr, J., Brunak, S., Cotterill, R., Fredholm, H., Lautmp, B., Petersen, S.
358: (1,16) "Training Knowledge-Based Neural Networks to Recognize Genes .." by Noordewier, M., Shavlik, J., Towell, G.
359: (-6,17) "Neural Network Application to Diagnostics .." by Marko, K.
360: (-6,14) "Lg Depth Estimation and Ripple Fire Characterization .." by Baumgardt, D., Perry, J.
361: (-4,4) "A B-P ANN Commodity Trader .." by Collard, J.
362: (-15,30) "Integrated Segmentation and Recognition of Hand-Printed Numerals ." by Keeler, J., Leow, W., Rumelhart, D.
363: (-13,30) "EMPATH: Face, Emotion, and Gender Recognition Using Holons .." by Cottrell, G., Metcalfe, J.
364: (-13,16) "SEXNET: A Neural Network Identifies Sex From Human Faces ." by Golomb, B., Lawrence, D., Sejnowski, T.
365: (-14,18) "A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules . . ." by Hayashi, Y.
366: (-7,-1) "Analog Neural Networks as Decoders ." by Abu-Mostafa, Y., Erlanson, R.
367: (-4,-1) "Distributed Recursive Structure Processing .." by Legendre, G., Miyata, Y., Smolensky, P.
368: (-5,13) "Translating Locative Prepositions ." by Munro, P., Tabasko, M.
369: (-10,19) "A Short-Term Memory Architecture for the Learning of Morphophonemic Rules ." by Gasser, M., Lee, C.
370: (-5,-16) "Exploiting Syllable Structure in a Connectionist Phonology Model .." by Touretzky, D., Wheeler, D.
371: (-8,18) "Language Induction by Phase Transition in Dynamical Recognizers .." by Pollack, J.
372: (-3,19) "Discovering Discrete Distributed Representations ." by Mozer, M.
373: (-4,-8) "Direct Memory Access Using Two Cues ." by Bain, J., Dennis, S., Humphreys, M., Wiles, J.
374: (-17,5) "An Attractor Neural Network Model of Recall and Recognition ." by Ruppin, E., Yeshurun, Y.
375: (21,13) "ALCOVE: A Connectionist Model of Human Category Learning ." by Kruschke, J.
376: (6,-5) "Spherical Units as Dynamic Consequential Regions ." by Gluck, M., Hanson, S.
377: (7,10) "Connectionist Implementation of a Theory of Generalization" by Kannappan, S., Shepard, R.
378: (0,20) "Adaptive Spline Networks ." by Freidman, J.
379: (-1,30) "Multi-Layer Perceptrons with B-Spline Receptive Field Functions ." by Flax, M., Gelfand, J., Handelman, D., Lane, S.
380: (17,-6) "Bumptrees for Efficient Function, Constraint, and Classification Learning ." by Omohundro, S.
381: (9,4) "Basis-Function Trees as a Generalization of Local Variable Selection Methods . ." by Sanger, T.
382: (8,1) "Generalization Properties of Radial Basis Functions ." by Atkeson, C., Botros, S.
383: (-7,34) "Learning by Combining Memorization and Gradient Descent ." by Platt, J.
384: (0,16) "Sequential Adaptation of Radial Basis Function Neural Networks .." by Fallside, F., Kadirkamanathan, V., Niranjan, M.
385: (3,17) "Oriented Non-Radial Basis Functions for Image Coding and Analysis ." by Christian, J., Saha, A., Tang, D., Wu, C.
386: (8,9) "Computing with Arrays of Bell-Shaped and Sigrnoid Functions ." by Baldi, P.
387: (-5,5) "Discrete Affine Wavelet Transforms ." by Krishnaprasad, P., Pati, Y.
388: (13,-7) "Extensions of a Theory of Networks for Approximation and Learning ." by Caprile, B., Girosi, F., Poggio, T.
389: (10,13) "How Receptive Field Parameters Affect Neural Learning .." by Mel, B., Omohundro, S.
390: (-7,25) "A Competitive Modular Connectionist Architecture ." by Jacobs, R., Jordan, M.
391: (-5,29) "Evaluation of Adaptive Mixtures of Competing Experts .." by Hinton, G., Nowlan, S.
392: (17,2) "A Framework for the Cooperation of Learning Algorithms ." by Bottou, L., Gallinari, P.
393: (1,13) "Connectionist Music Composition Based on Melodic and Stylistic Constraints . ." by Mozer, M., Soukup, T.
394: (5,4) "Using Genetic Algorithms to Improve Pattern Classification Performance ." by Chang, E., Lippmann, R.
395: (37,21) "Evolution and Learning in Neural Networks .." by Keesing, R., Stork, D.
396: (-4,15) "Designing Linear Threshold Based Neural Network Pattern Classifiers ." by Fine, T.
397: (7,-12) "On Stochastic Complexity and Admissible Models for Neural Network Classifiers" by Smyth, P.
398: (2,2) "Efficient Design of Boltzmann Machines ." by Gupta, A., Maass, W.
399: (15,-2) "Note on Learning Rate Schedules for Stochastic Optimization ." by Darken, C., Moody, J.
400: (12,-4) "Convergence of a Neural Network Classifier ." by Baras, J., LaVigna, A.
401: (17,8) "Learning Theory and Experiments with Competitive Networks ." by Bilbro, G., VandenBout, D.
402: (-5,19) "Transforming Neural-Net Output Levels to Probability Distributions ." by Denker, J., LeCun, Y.
403: (0,15) "Back Propagation is Sensitive to Initial Conditions ." by Kolen, J., Pollack, J.
404: (-8,3) "Closed-Form Inversion of Backpropagation Networks" by Rossen, M.
405: (12,23) "Generalization by Weight-Elimination with Application to Forecasting ." by Huberman, B., Rumelhart, D., Weigend, A.
406: (-7,4) "The Devil and the Network ." by Biswas, S., Venkatesh, S.
407: (14,21) "Generalization Dynamics in LMS Trained Linear Networks ." by Chauvin, Y.
408: (9,9) "Dynamics of Generalization in Linear Perceptrons ." by Hertz, J., Krogh, A.
409: (5,32) "Constructing Hidden Units Using Examples and Queries .." by Baum, E., Lang, K.
410: (13,15) "Can Neural Networks do Better Than the Vapnik-Chervonenkis Bounds? ." by Cohn, D., Tesauro, G.
411: (16,7) "Second Order Properties of Error Surfaces ." by Kanter, I., LeCun, Y., Solla, S.
412: (2,21) "Chaitin-Kolmogorov Complexity and Generalization in Neural Networks ." by Pearlmutter, B., Rosenfeld, R.
413: (7,1) "Asymptotic Slowing Down of the Nearest-Neighbor Classifier ." by Psaltis, D., Snapp, R., Venkatesh, S.
414: (-1,2) "Remarks on Interpolation and Recognition Using Neural Nets ." by Sontag, E.
415: (-1,7) "e-Entropy and the Complexity of Feedforward Neural Networks ." by Williamson, R.
416: (-1,5) "On The Circuit Complexity of Neural Networks ." by Kailath, T., Orlitsky, A., Roychowdhury, V., Siu, K.
417: (8,8) "Comparison of Three Classification Techniques, CART, C4.5 and Multi-Layer Perceptrons .." by Pearson, R., Tsoi, A.
418: (8,19) "Practical Characteristics of Neural Network and Conventional Pattern Classifiers." by Lippmann, R., Ng, K.
419: (8,-3) "Time Trials on Second-Order and Variable-Learning-Rate Algorithms ." by Rohwer, R.
420: (11,-5) "Kohonen Networks and Clustering ." by Bilbro, G., Nissman, D., Snyder, W., VandenBout, D.
421: (-15,9) "VLSI Implementations of Learning and Memory Systems .." by Holler, M.
422: (-7,-6) "Compact EEPROM-based Weight Functions .." by Chu, R., Ko, P., Kramer, A., Sin, C.
423: (-5,16) "An Analog VLSI Splining Network ." by Samalam, V., Schwartz, D.
424: (17,18) "Relaxation Networks for Large Supervised Learning Problems ." by Allen, R., Alspector, J., Jayakumar, A., Meir, R., Zeppenfeld, T.
425: (-10,7) "Design and Implementation of a High Speed CMAC Neural Network ." by Box, B., Glynn, J., Miller, W., Whitney, E.
426: (-5,5) "Back Propagation Implementation ." by McCartor, H.
427: (-20,9) "Reconfigurable Neural Net Chip with 32K Connections .." by Graf, H., Henderson, D., Janow, R., Lee, R.
428: (-11,9) "Simulation of the Neocognitron on a CCD Parallel Processing Architecture . . ." by Chiang, A., Chuang, M.
429: (-13,2) "VLSI Implementation of TInMANN ." by Melton, M., Phan, T., Reeves, D., VandenBout, D.
430: (-12,-13) "Models Wanted: Must Fit Dimensions of Sleep and Dreaming" by Hobson, J., Mamelak, A., Sutton, J.
431: (-21,-18) "Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties" by Sydorenko, M., Young, E.
432: (-6,-13) "Perturbing Hebbian Rules" by Dayan, P., Goodhill, G.
433: (-22,-17) "Statistical Reliability of a Blowfly Movement-Sensitive Neuro" by Bialek, W., de-Ruyter-van-Steveninck, R.
434: (-13,-1) "The Clusteron: Toward a Simple Abstraction for a Complex Neuro" by Mel, B.
435: (-37,-15) "Network activity determines spatio-temporal integration in single cells" by Bernander, O., Douglas, R., Koch, C.
436: (-28,-17) "Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane" by Brown, T., Claiborne, B., Zador, A.
437: (-13,-10) "Self-organisation in real neurons: Anti-Hebb in 'Channel Space'" by Bell, A.
438: (-19,-11) "Single Neuron Model: Response to Weak Modulation in the Presence of Nois" by Bulsara, A., Jacobs, E., Moss, Moss.
439: (-34,-34) "Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex" by Bonds, A.
440: (-13,-21) "A comparison between a neural netwok model for the formation of brain maps and experimental data" by Blasdel, G., Obermayer, K., Schulten, K.
441: (-23,-24) "Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity" by Keesing, R., Shatz, C., Stork, D.
442: (-22,-7) "Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling" by Buchanan, J.
443: (-1,7) "Adaptive Synchronization of Neural and Physical Oscillator" by Doya, K., Yoshizawa, S.
444: (-30,0) "Burst Synchronization without Frequency Locking in a Completely Solvable Network Model" by Koch, C., Schuster, H.
445: (-25,-7) "Oscillatory Model of Short Term Memory" by Horn, D., Usher, M.
446: (-3,20) "Multi-State Time Delay Neural Networks for Continuous Speech Recognitio" by Haffner, P., Waibel, A.
447: (-14,18) "Modeling Applications with the Focused Gamma Net" by Kuo, J., Principe, J., de-Oliveira, P., de-Vries, B.
448: (-11,25) "Time-Warping Network: A Hybrid Framework for Speech Recognition" by Bocchieri, E., Levin, E., Pieraccini, R.
449: (-5,24) "Improved Hidden Markov Model Speech Recognition Using Radial Basis Function Networks" by Lippmann, R., Singer, E.
450: (3,8) "Connectionist Optimisation of Tied Mixture Hidden Markov Models" by Bourlard, H., Cohen, M., Franco, H., Morgan, N., Renals, S.
451: (-5,12) "Neural Network Gaussian Mixture Hybrid for Speech Recognition or Density Estimation" by Bengio, Y., De-Mori, R., Flammia, G., Kompe, R.
452: (-11,12) "JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques" by Jain, A., McNair, A., Osterholtz, L., Saito, H., Schmidbauer, O., Sloboda, T., Tebelskis, J., Waibel, A., Woszczyna, M.
453: (-10,-11) "Forward Dynamics Modeling of Speech Motor Control Using Physiological Data" by Hirayama, M., Jordan, M., Kawato, M., Vatikiotis-Bateson, E.
454: (-6,4) "English Alphabet Recognition with Telephone Speech" by Cole, R., Fanty, M., Roginski, K.
455: (-11,19) "Generalization Performance in PARSEC--A Structured Connectionist Parsing Architecture" by Jain, A.
456: (-2,2) "Constructing Proofs in Symmetric Networks" by Pinkas, G.
457: (7,0) "A Connectionist Learning Approach to Analyzing Linguistic Stress" by Gupta, P., Touretzky, D.
458: (-25,39) "Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution" by Dyer, M., Sumida, R.
459: (-3,11) "A Segment-based Automatic Language Identification System" by Cole, R., Muthusamy, Y.
460: (37,9) "The Efficient Learning of Multiple Task Sequences" by Singh, S.
461: (1,31) "Practical Issues in Temporal Difference Learning" by Tesauro, G.
462: (-4,0) "HARMONET: A Neural Net for Harmonizing Chorales in the Style of J.S. Bach" by Feulner, J., Hild, H., Menzel, W.
463: (-3,20) "Induction of Multiscale Temporal Structure" by Mozer, M.
464: (-12,2) "Network Model of State-Dependent Sequencing" by Hobson, J., Mamelak, A., Sutton, J.
465: (3,21) "Learning Unambiguous Reduced Sequence Descriptions" by Schmidhuber, J.
466: (-8,21) "Recurrent Networks and NARMA Modeling" by Atlas, L., Connor, J., Martin, D.
467: (-6,28) "Induction of Finite-State Automata Using Second-Order Recurrent Networks" by Kuhn, G., Watrous, R.
468: (3,30) "Extracting and Learning an Unknown Grammar with Recurrent Neural Networks" by Chen, D., Chen, H., Giles, C., Lee, Y., Miller, C., Sun, G.
469: (-12,35) "Operators and curried functions: Training and analysis of simple recurrent networks" by Bloesch, A., Wiles, J.
470: (24,11) "Green's Function Method for Fast On-line Learning Algorithm of Recurrent Neural Networks" by Chen, H., Lee, Y., Sun, G.
471: (-36,55) "Dynamically-Adaptive Winner-Take-All Networks" by Lange, T.
472: (-15,-4) "Information Processing to Create Eye Movements" by Robinson, D.
473: (-15,-9) "Decoding of Neuronal Signals in Visual Pattern Recognition" by Eskandar, E., Hertz, J., Kjaer, T., Optican, L., Richmond, B.
474: (13,-15) "Lance M. Optican, and 3oels Kjter Learning How to Teach or Selecting Minimal Surface Data" by Geiger, D., Pereira, R.
475: (-3,7) "Learning to Make Coherent Predictions in Domains with Discontinuities" by Becker, S., Hinton, G.
476: (-34,17) "Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion" by Lisberger, S., Sejnowski, T., Viola, P.
477: (4,-9) "Against Edges: Function Approximation with Multiple Support Maps" by Darrell, T., Pentland, A.
478: (-2,-4) "Markov Random Fields Can Bridge Levels of Abstraction" by Cooper, P., Prokopowicz, P.
479: (-5,-28) "Illumination and View Position in 3D Visual Recognition" by Shashua, A.
480: (-26,-14) "Hierarchical Transformation of Space in the Visual System" by Fisher, S., Pouget, A., Sejnowski, T.
481: (-19,-9) "VISI15 A Neural Model of Covert Visual Attention" by Ahmad, S.
482: (-3,-13) "Visual Grammars and their Neural Nets" by Mjolsness, E.
483: (-6,15) "Learning to Segment Images Using Dynamic Feature Binding" by Behrmann, M., Mozer, M., Zemel, R.
484: (-4,4) "Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery" by Chellappa, R., Goodman, R., Greenspan, H.
485: (-4,-10) "Linear Operator for Object Recognition" by Basri, R., Ullman, S.
486: (-5,-2) "3D Object Recognition Using Unsupervised Feature Extraction" by Bfilthoff, H., Edelman, S., Gold, J., Intrator, N.
487: (12,13) "Structural Risk Minimization for Character Recognition" by Boser, B., Bottou, L., Guyon, I., Solla, S., Vapnik, V.
488: (-13,10) "Image Segmentation with Networks of Variable Scales" by Ben, J., Graf, H., Nohl, C.
489: (-10,14) "Multi-Digit Recognition Using a Space Displacement Neural Network" by Burges, C., Denker, J., LeCun, Y., Matan, O.
490: (-10,29) "A Self-Organizing Integrated Segmentation and Recognition Neural Net" by Keeler, J., Rumelhart, D.
491: (-13,14) "Recognizing Overlapping Hand-Printed Characters by Centered-Object Integrated Segmentation and Recognition" by Martin, G., Rashid, M.
492: (9,-35) "Adaptive Elastic Models for Hand-Printed Character Recognition" by Hinton, G., Revow, M., Williams, C.
493: (26,-1) "Obstacle Avoidance through Reinforcement Learning" by Mayhew, J., Prescott, T.
494: (28,-4) "Active Exploration in Dynamic Environments" by Moller, K., Thrun, S.
495: (-17,0) "Oscillatory Neural Fields for Globally Optimal Path Planning" by Lemmon, M.
496: (-13,40) "Recognition of Manipulated Objects by Motor Learning" by Gomi, H., Kawato, M.
497: (-14,50) "Refining PID Controllers using Neural Networks" by Ray, W., Scott, G., Shavlik, J.
498: (22,-6) "Fast Learning with Predictive Forward Models" by Brody, C.
499: (30,-8) "Fast, Robust Adaptive Control by Learning only Forward Models" by Moore, A.
500: (-22,51) "Reverse TDNN: An Architecture for Trajectory Generation" by LeCun, Y., Simard, P.
501: (6,0) "Learning Global Direct Inverse Kinematics" by DeMers, D., Kreutz-Delgado, K.
502: (-10,-14) "A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem" by Dean, P., Langdon, P., Mayhew, J.
503: (-31,24) "Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-Propagation" by Anastasio, T.
504: (-13,-12) "A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic Arm" by Barto, A., Berthier, N., Houk, J., Singh, S.
505: (-11,-21) "A Computational Mechanism to Account for Averaged Modified Hand Trajectories" by Flash, T., Henis, E.
506: (-3,-22) "Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model" by Dornay, M., Kawato, M., Suzuki, R., Uno, Y.
507: (-6,5) "ANN Based Classification for Heart Defibrillators" by Chi, Z., Flower, B., Jabri, M., Leong, P., Pickard, S., Xie, Y.
508: (1,2) "Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance Images" by Christy, P., Ehman, R., Manduca, A.
509: (-5,10) "Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance" by Lytton, W., Sejnowski, T., Venturini, R.
510: (10,16) "Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency" by Holmann, R., Roscheisen, M., Tresp, V.
511: (15,-30) "Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models" by Mellstrom, J., Smyth, P.
512: (-3,-1) "Multimodular Architecture for Remote Sensing Options" by Badran, F., Crepon, M., Mejia, C., Thiria, S.
513: (2,28) "Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction" by Moody, J., Utans, J.
514: (0,10) "Adaptive Development of Connectionist Decoders for Complex Error-Correcting Codes" by Blaum, M., Gish, S.
515: (10,-27) "Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill" by Tsoi, A.
516: (-8,28) "Computer Recognition of Wave Location in Graphical Data by a Neural Network" by Freeman, D.
517: (-21,-19) "A Neural Network for Motion Detection of Drift-Balanced Stimuli" by Tunley, H.
518: (-17,25) "Neural Network Routing for Random Multistage Interconnection Network" by Giles, C., Goudreau, M.
519: (-15,21) "Networks for the Separation of Sources that are Superimposed and Delayed . ." by Faggin, F., Platt, J.
520: (-16,14) "CCD Neural Network Processors for Pattern Recognition" by Chiang, A., Chuang, M., LaFranchise, J.
521: (-14,-5) "A Parallel Analog CCD/CMOS Signal Processor" by Neugebauer, C., Yariv, A.
522: (-31,-26) "Direction Selective Silicon Retina that uses Null Inhibition" by Benson, R., Delbruck, T.
523: (-23,-16) "A Contrast Sensitive Silicon Retina with Reciprocal Synapses" by Andreou, A., Boahen, K.
524: (-13,9) "A Neurocomputer Board Based on the ANNA Neural Network Chip" by Boser, B., Jackel, L., Sackinger, E.
525: (-2,20) "Software for ANN training on a Ring Array Processor" by Beck, J., Bilmes, J., Kohn, P., Morgan, N.
526: (-4,-11) "Constrained Optimization Applied to the Parameter Setting Problem  for Analog Circuits" by Barr, A., Fleischer, K., Kirk, D., Watts, L.
527: (-8,-2) "Segmentation Circuits Using Constrained Optimization" by Harris, J.
528: (-15,10) "Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent Signals" by Andreou, A., Cohen, M., Pouliquen, P.
529: (-19,-14) "Temporal Adaptation in a Silicon Auditory Nerve" by Lazzaro, J.
530: (-11,-4) "Optical Implementation of a Self-Organizing Feature Extractor" by Anderson, D., Benkert, C., Hebler, V., Jang, J., Montgomery, D., Saffman, M.
531: (17,5) "Don Montgomery, and Mark Saffman Principles of Risk Minimization for Learning Theory" by Vapnik, V.
532: (11,-23) "Bayesian Model Comparison and Backprop Nets" by MacKay, D.
533: (13,6) "The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems" by Moody, J.
534: (26,-3) "Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods" by Haussler, D., Kearns, M., Opper, M., Schapire, R.
535: (1,-2) "Constant-Time Loading of Shallow 1-Dimensional Networks" by Judd, S.
536: (16,15) "Experimental Evaluation of Learning in a Neural Microsystem" by Alspector, J., Jayakumar, A., Luna, S.
537: (-2,23) "Threshold Network Learning in the Presence of Equivalences" by Shawe-Taylor, J.
538: (6,2) "Gradient Descent: Second Order Momentum and Saturating Error" by Pearlmutter, B.
539: (8,9) "Tangent Prop--A formalism for specifying selected invariances in an adaptive network" by Denker, J., LeCun, Y., Simard, P., Victorri, B.
540: (8,-9) "Polynomial Uniform Convergence of Relative Frequencies to Probabilities" by Bertoni, A., Campadelli, P., Morpurgo, A., Panizza, S.
541: (17,-7) "Unsupervised learning of distributions on binary vectors using 2- layer networks" by Freund, Y., Haussler, D.
542: (21,-3) "Incrementally Learning Time-varying Half-planes" by Kuh, A., Petsche, T., Rivest, R.
543: (-1,20) "The VC-Dimension versus the Statistical Capacity of Multilayer Networks" by Ji, C., Psaltis, D.
544: (13,1) "Some Approximation Properties of Projection Pursuit Learning Networks" by Atkeson, C., Zhao, Y.
545: (-2,5) "Neural Computing with Small Weights" by Bruck, J., Siu, K.
546: (15,20) "A Simple Weight Decay Can Improve Generalization" by Hertz, J., Krogh, A.
547: (21,-26) "Best-First Model Merging for Dynamic Learning and Recognition" by Omohundro, S.
548: (3,33) "Rule Induction through Integrated Symbolic and Subsymbolic Processing" by McMillan, C., Mozer, M., Smolensky, P.
549: (5,31) "Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules" by Shavlik, J., Towell, G.
550: (1,20) "Hierarchies of adaptive experts" by Jacobs, R., Jordan, M.
551: (3,19) "Adaptive Soft Weight Tying using Gaussian Mixtures" by Hinton, G., Nowlan, S.
552: (13,10) "Repeat Until Bored: A Pattern Selection Strategy" by Munro, P.
553: (14,-2) "Towards Faster Stochastic Gradient Search" by Darken, C., Moody, J.
554: (-1,10) "Competitive Anti-Hebbian Learning of Invariants" by Schraudolph, N., Sejnowski, T.
555: (5,-6) "Merging Constrained Optimisation with Deterministic Annealing to "Solve" Combinatorially Hard Problems" by Stolorz, P.
556: (3,5) "Kernel Regression and Backpropagation Training with Noise" by Holmstrom, L., Koistinen, P.
557: (4,-1) "Splines, Rational Functions and Neural Networks" by Bartlett, P., Williamson, R.
558: (9,22) "Networks with Learned Unit Response Functions" by Moody, J., Yarvin, N.
559: (17,7) "Learning in Feedforward Networks with Nonsmooth Functions" by Downs, T., Redding, N.
560: (7,0) "Iterative Construction of Sparse Polynomial Approximations" by Matheus, C., Sanger, T., Sutton, R.
561: (-3,24) "Node Splitting: A Contructive Algorithm for Feed-Forward Neural Networks" by Wynne-Jones, M.
562: (3,40) "Information Measure Based Skeletonisation" by Pratt, L., Ramachandran, S.
563: (15,-18) "Data Analysis Using G/Splines" by Rogers, D.
564: (2,-2) "Unsupervised Classifiers, Mutual Information and 'Phantom Targets' ." by Bridle, J., Heading, A., MacKay, D.
565: (7,13) "A Network of Localized Linear Discriminants" by Glassman, M.
566: (9,-1) "A Weighted Probabilistic Neural Network" by Montana, D.
567: (-9,25) "Network generalization for production: Learning and producing styled letterforms" by Grebert, I., Keesing, R., Mims, S., Stork, D.
568: (6,-4) "Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers" by Hampshire, J., Kumar, B.
569: (33,37) "Improving the Performance of Radial Basis Function Networks by Learning Center Locations" by Dietterich, T., Wettschereck, D.
570: (0,-2) "A Topograhic Product for the Optimization of Self-Organizing Feature Maps . ." by Bauer, H., Geisel, T., Pawelzik, K.
571: (1,2) "Human and Machine 'Quick Modeling' ." by Bernasconi, J., Gustarson, K.
572: (14,16) "A Comparison of Projection Pursuit and Neural Network Regression Modeling" by Hwang, J., Li, H., Maechler, M., Martin, R., Schimert, J.
573: (20,15) "Benchmarking Feed-Forward Neural Networks: Models and Measures" by Hamey, L.
574: (-3,10) "On the Use of Projection Pursuit Constraints for Training Neural Network" by Intrator, N.
575: (25,-39) "Hidden Markov Model Induction by Bayesian Model Merging" by Omohundro, S., Stolcke, A.
576: (-5,15) "Computing with Almost Optimal Size Neural Networks" by Kailath, T., Roychowdhury, V., Siu, K.
577: (-6,7) "Intersecting Regions: The Key to Combinatorial Structure in Hidden Unit Space" by Ollila, M., Wiles, J.
578: (-5,21) "Holographic Recurrent Networks" by Plate, T.
579: (13,63) "Improving Performance in Neural Networks Using a Boosting Algorith" by Drucker, H., Schapire, R., Simard, P.
580: (6,-2) "Efficient Pattern Recognition Using a New Transformation Distanc" by Cun, Y., Denker, J., Simard, P.
581: (-7,4) "Optimal Depth Neural Networks for Multiplication and Related Problem" by Roychowdhury, V., Siu, K.
582: (15,19) "Using Prior Knowledge in a NNDPA to Learn Context-Free Language" by Das, S., Giles, C., Sun, G.
583: (30,8) "A Method for Learning from Hints" by Abu-Mostafa, Y.
584: (26,16) "Q-Learning with Hidden-Unit Restarting" by Anderson, C.
585: (-2,20) "Nets with Unreliable Hidden Nodes Learn Error-Correcting Code" by Judd, S., Munro, P.
586: (-4,-5) "Interposing an Ontogenic Model Between Genetic Algorithms and Neural Networks" by Belew, R.
587: (2,19) "Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases" by Mahoney, J., Mooney, R.
588: (-14,51) "Learning Sequential Tasks by Incrementally Adding Higher Order" by Ring, M.
589: (-15,4) "Kohonen Feature Maps and Growing Cell Structures--a Performance Comparison" by Fritzke, B.
590: (6,35) "Metamorphosis Networks: An Alternative to Constructive Model" by Bonnlander, B., Mozer, M.
591: (9,15) "A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively" by Chang, E., Lippmann, R.
592: (15,11) "Automatic Capacity Tuning of Very Large VC-Dimension Classifier" by Boser, B., Guyon, I., Vapnik, V.
593: (22,14) "Automatic Learning Rate Maximization in Large Adaptive Machine" by Cun, Y., Pearlmutter, B., Simard, P.
594: (3,30) "Second Order Derivatives for Network Pruning: Optimal Brain Surgeo" by Hassibi, B., Stork, D.
595: (-3,24) "Directional-Unit Boltzmann Machines" by Mozer, M., Williams, C., Zemel, R.
596: (-8,25) "Time Warping Invariant Neural Networks" by Chen, H., Lee, Y., Sun, G.
597: (-1,21) "Generalization Abilities of Cascade Network Architectur" by Littmann, E., Ritter, H.
598: (6,-6) "Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm" by Paass, G.
599: (2,27) "Discriminability-Based Transfer between Neural Network" by Pratt, L.
600: (-3,4) "Summed Weight Neuron Perturbation: An O(N) Improvement Over Weight Perturbation" by Flower, B., Jabri, M.
601: (17,-7) "A Note on Learning Vector Quantization" by Ballard, D., de-Sa, V.
602: (8,21) "Extended Regularization Methods for Nonconvergent Model Selection" by Finnoff, W., Hergert, Hergert., Zimmermann, H.
603: (-26,29) "Synchronization and Grammatical Inference in an Oscillating Elman Ne" by Baird, B., Eeckman, F., Troyer, T.
604: (41,25) "A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization" by Cauwenberghs, G.
605: (2,-5) "Global Regularization of Inverse Kinematics for Redundant Manipulator" by DeMers, D., Kreutz-Delgado, K.
606: (34,-10) "Memory-based Reinforcement Learning: Efficient Computation with Prioritized Sweeping" by Atkeson, C., Moore, A.
607: (36,-1) "Feudal Reinforcement Learning" by Dayan, P., Hinton, G.
608: (-32,48) "Input Reconstruction Reliability Estimatio" by Pomerleau, D.
609: (29,5) "Explanation-based Neural Network Learning for Robot Contro" by Mitchell, T., Thrun, S.
610: (53,-4) "Reinforcement Learning Applied to Linear Quadratic Regulatio" by Bradtke, S.
611: (9,-7) "Neural Network On-Line Learning Control of Spacecraft Smart Structure" by Bowman, C.
612: (-33,18) "Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements" by Fukumura, N., Kawato, M., Suzuki, R., Uno, Y.
613: (27,-10) "On Line Estimation of Optimal Control Sequences: HJB Estimator" by Peterson, J.
614: (27,6) "Learning Control Under Extreme Uncertainty" by Gullapalli, V.
615: (22,15) "A Practice Strategy for Robot Learning Contro" by Sanger, T.
616: (2,-1) "Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance" by Eckmiller, R., Fahner, G.
617: (6,17) "Learning Fuzzy Rule-Based Neural Networks for Control" by Goodman, R., Higgins, C.
618: (-9,26) "Learning to Categorize Objects Using Temporal Coherenc" by Becker, S.
619: (-26,-25) "Filter Selection Model for Generating Visual Motion Signal" by Nowlan, S., Sejnowski, T.
620: (-35,-34) "Stimulus Encoding By Multidimensional Receptive Fields in Single Cells and Cell Populations in V1 of Awake Monkey" by Aertsen, A., Hochstein, S., Stern, E., Vaadia, E.
621: (-6,-10) "The Computation of Stereo Disparity for Transparent and for Opaque Surfaces" by Kersten, D., Madarasmi, S., Pong, T.
622: (1,7) "Some Solutions to the Missing Feature Problem in Visio" by Ahmad, S., Tresp, V.
623: (-3,-10) "Improving Convergence in Hierarchical Matching Networks for Object Recognition" by Gindi, G., Utans, J.
624: (-29,-32) "A Model of Feedback to the Lateral Geniculate Nucleu" by Brody, C.
625: (-29,-10) "Unsmearing Visual Motion: Development of Long-Range Horizontal Intrinsic Connections" by Marshall, J., Martin, K.
626: (-9,10) "Remote Sensing Image Analysis via a Texture Classification Neural Network" by Goodman, R., Greenspan, H.
627: (-25,-15) "Computation of Heading Direction from Optic Flow in Visual Corte" by Lappe, M., Rauschecker, J.
628: (-8,9) "Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten Characters" by Chapman, D., Martin, G., Pittman, J., Rashid, M.
629: (18,0) "Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria" by Leen, T., Moody, J.
630: (16,6) "Diffusion Approximations for the Constant Step Size Backpropogation Algorithm and Resistance to Local Minima" by Finnoff, W.
631: (7,-6) "Self-Organizing Rules for Robust Principal Component Analysi" by Xu, L., Yuille, A.
632: (16,16) "Bayesian Learning via Stochastic Dynamics" by Neal, R.
633: (23,6) "Information, Prediction, and Query by Committee" by Freund, Y., Seung, H., Shamir, E., Tishby, N.
634: (14,20) "Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory" by Edwards, P., Murray, A.
635: (-1,3) "Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain" by Schraudolph, N., Sejnowski, T.
636: (22,8) "Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times" by Leen, T., Orr, G.
637: (-13,-14) "Information Theoretic Analysis of Connection Structure from Spike Train" by Matsumoto, K., Nakashima, M., Shiono, S., Yamada, S.
638: (10,23) "Statistical Mechanics of Learning in a Large Committee Machin" by Hertz, J., Schwarze, H.
639: (6,-13) "Probability Estimation from a Database Using a Gibbs Energy Mode" by Goodman, R., Miller, J.
640: (8,-6) "On the Use of Evidence in Neural Networks" by Wolpert, D.
641: (-10,-4) "Destabilization and Route to Chaos in Neural Networks with Random Connectivity" by Cessac, B., Doyon, B., Quoy, M., Samuelides, M.
642: (-21,4) "Predicting Complex Behavior in Sparse Asymmetric Networks" by Levy, W., Minai, A.
643: (-8,4) "Single-iteration Threshold Hamming Networks" by Meilijson, I., Ruppin, E., Sipper, M.
644: (-18,-2) "History-dependent Attractor Neural Networks" by Meilijson, I., Ruppin, E.
645: (0,12) "Non-Linear Dimensionality Reduction" by Cottrell, G., DeMers, D.
646: (14,6) "On Learning mu-Perceptron Networks with Binary Weight" by Golea, M., Hancock, T., Marchand, M.
647: (10,-29) "Neural Network Model Selection Using Asymptotic Jackknife Estimator and Cross-Validation Method" by Liu, Y.
648: (10,8) "Learning Curves, Model Selection and Complexity of Neural Network" by Amari, S., Murata, N., Yoshizawa, S.
649: (4,9) "The Power of Approximating: A Comparison of Activation Function" by DasGupta, B., Schnitger, G.
650: (1,-3) "Rational Parameterizations of Neural Networks" by Helmke, U., Williamson, R.
651: (11,18) "Learning Cellular Automaton Dynamics with Neural Networks" by Hertz, J., Wulff, N.
652: (-4,22) "Some Estimates of Necessary Number of Connections and Hidden Units for Feed-Forward Networks" by Kowalczyk, A.
653: (-1,19) "Context-Dependent Multiple Distribution Phonetic Modeling with MLP" by Abrash, V., Cohen, M., Franco, H., Morgan, N., Rumelhart, D.
654: (-13,6) "Physiologically Based Speech Synthesis" by Hirayama, M., Honda, K., Kawato, M., Kioke, Y., Vatikiotis-Bateson, E.
655: (-13,-25) "Analog Cochlear Model for Multiresolution Speech Analysi" by Andreou, A., Goldstein, M., Liu, W.
656: (-1,12) "A Hybrid Linear/Nonlinear Approach to Channel Equilization Problem" by Lee, W., Pearson, J.
657: (-4,8) "Modeling Consistency in a Speaker Independent Continuous Speech Recognition System" by Abrash, V., Cohen, M., Franco, H., Konig, Y., Morgan, N., Wooters, C.
658: (-10,26) "Transient Signal Detection with Neural Networks: The Search for the Desired Signal" by Principe, J., Zahalka, A.
659: (-4,20) "Performance Through Consistency: MS-TDNN's for Large Vocabulary Continuous Speech Recognition" by Tebelskis, J., Waibel, A.
660: (-5,17) "A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition" by Makhoul, J., Schwartz, R., Zavaliagkos, G., Zhao, Y.
661: (-6,18) "Connected Letter Recognition with a Multi-State Time Delay Neural Network" by Hild, H., Waibel, A.
662: (-7,7) "Recognition-Based Segmentation of On-line Hand-Printed Word" by Guyon, I., Henderson, D., Nohl, C., Schenkel, M., Weissman, H.
663: (18,-22) "Planar Hidden Markov Modeling: from Speech to Optical Character Recognition" by Levin, E., Pieraccini, R.
664: (2,8) "Forecasting Demand for Electric Power" by Fine, T., Yuan, J.
665: (9,-15) "Hidden Markov Models in Molecular Biology: New Algorithms and Applications" by Baldi, P., Chauvin, Y., Hunkapiller, T., McClure, M.
666: (-9,22) "A Neural Network that Learns to Interpret Myocardial Planar Thallium Scintigrams" by Atlan, H., Erel, J., Rosenberg, C.
667: (-14,5) "An Analog VLSI Chip for Radial Basis Functions" by Anderson, J., Kirk, D., Platt, J.
668: (-20,4) "Generic Analog Neural Computation: The Epsilon Chip" by Baxter, D., Churcher, S., Hamilton, A., Murray, A., Reekie, H.
669: (-21,-20) "Visual Motion Computation in Analog VLSI using Pulses" by Bair, W., Koch, C., Sarpeshkar, R.
670: (-3,-1) "Analog VLSI Implementation of Gradient Descent" by Barr, A., Fleischer, K., Kerns, D., Kirk, D.
671: (-7,4) "An Object-Oriented Framework for the Simulation of Neural Network" by Linden, A., Sudbrak, T., Tietz, C., Weber, Weber.
672: (-13,4) "Attractor Neural Networks with Local Inhibition: from Statistical Physics to a Digital Programmable Integrated Circuit" by Pasero, E., Zecchina, R.
673: (-24,-7) "Hybrid Circuits of Interacting Computer Model and Biological Neurons" by Abbott, L., LeMasson, G., Marder, E., Renaud-LeMasson, S.
674: (-16,-8) "Silicon Auditory Processors as Computer Peripheral" by Gillespie, D., Lazzaro, J., Mahowald, M., Sivilotti, M., Wawrzynek, J.
675: (-15,-13) "Object-Based Analog VLSI Vision Circuits" by Harris, J., Koch, C., Liu, S., Luo, J., Mathur, B., Sivilotti, M.
676: (25,18) "A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks" by Alspector, J., Jayakumar, A., Lippe, D., Meir, R., Yuhas, B.
677: (-2,-4) "Harmonic Grammars for Formal Languages" by Smolensky, P.
678: (-8,-10) "Analogy--Watershed or Waterloo? Structural Alignment and the Development of Connectionist Models of Cognition" by Gentner, D., Markman, A.
679: (-2,17) "A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages" by Das, S., Mozer, M.
680: (-6,28) "Network Structuring and Training Using Rule-based Knowledge" by Ahmad, S., Hollatz, J., Tresp, V.
681: (-6,-19) "A Dynamical Model of Priming and Repetition Blindness" by Bavelier, D., Jordan, M.
682: (7,-21) "A Knowledge-Based Model of Geometry Learning" by Lehrer, R., Towell, G.
683: (1,-2) "Word Space" by Schfitze, H.
684: (-22,-11) "Perceiving Complex Visual Scenes: An Oscillator Neural Network Model that Integrates Selective Attention, Perceptual Organisation, and Invariant Recognition" by Goebel, R.
685: (-11,-16) "Mapping Between Neural and Physical Activities of the Lobster Gastric Mill" by Boyle, M., Doya, K., Selverston, A.
686: (-34,-16) "A Neural Model of Descending Gain Control in the Electrosensory Syste" by Nelson, M.
687: (-36,-34) "Using Hippocampal 'Place Cells' for Navigation, Exploiting Phase Codin" by Burgess, N., O'Keefe, J., Recce, M.
688: (4,11) "Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Function" by Gluck, M., Myers, C.
689: (-13,-13) "Statistical Modeling of Cell-Assemblies Activities in Associative Cortex of Behaving Monkeys" by Gat, I., Tishby, N.
690: (-17,11) "Deriving Receptive Fields Using an Optimal Encoding Criterion" by Linsker, R.
691: (26,4) "Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex" by Coenen, O., Lisberger, S., Sejnowski, T.
692: (-16,-8) "Using Aperiodic Reinforcement for Directed Self-Organization During Development" by Dayan, P., Montague, P., Nowlan, S., Pouget, A., Sejnowski, T.
693: (-19,-12) "How Oscillatory Neuronal Responses Reflect Bistability and Switching of the Hidden Assembly Dynamics" by Bauer, H., Deppisch, J., Geisel, T., Pawelzik, K.
694: (-16,-20) "Topography and Ocular Dominance with Positive Correlation" by Goodhill, G.
695: (-14,-17) "Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons" by Douglass, J., Longtin, A., Moss, F.
696: (-17,-1) "Spiral Waves in Integrate-and-Fire Neural Network" by Chu, P., Cowan, J., Milton, J.
697: (-21,-5) "Parameterising Feature Sensitive Cell Formation in Linsker Networks in the Auditory System" by Bisset, D., Walton, L.
698: (-26,6) "A Recurrent Neural Network for Generation of Occular Saccade" by Massone, L.
699: (-24,-11) "A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results" by Dreyfus, G., Kerszberg, M., Linster, C., Marsan, D., Masson, C., Personnaz, L.
700: (-33,-30) "An Information-Theoretic Approach to Deciphering the Hippocampal Code" by Gothard, K., Markus, E., McNaughton, B., Skaggs, W.
701: (8,10) "Autoencoders, Minimum Description Length, and Helmholtz Free Energy" by Hinton, G., Zemel, R.
702: (-3,30) "Developing Population Codes by Minimizing Description Length" by Hinton, G., Zemel, R.
703: (10,23) "A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction" by Das, S., Mozer, M.
704: (11,-15) "Unsupervised Learning of Mixtures of Multiple Causes in Binary Data" by Saund, E.
705: (6,20) "Fast Pruning Using Principal Components" by Leen, T., Levin, A., Moody, J.
706: (8,-9) "Surface Learning with Applications to Lipreading" by Bregler, C., Omohundro, S.
707: (9,-7) "When Will a Genetic Algorithm Outperform Hill Climbing?" by Forrest, S., Holland, J., Mitchell, M.
708: (30,1) "Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation" by Maron, O., Moore, A.
709: (-31,29) "Grammatical Inference by Attentional Control of Synchronization in an Oscillating Elman Network" by Baird, B., Eeckman, F., Troyer, T.
710: (12,9) "Credit Assignment through Time: Alternatives to Backpropagation" by Bengio, Y., Frasconi, P.
711: (-1,4) "A Local Algorithm to Learn Trajectories with Stochastic Neural Networks" by Movellan, J.
712: (-15,26) "Structural and Behavioral Evolution of Recurrent Networks" by Angeline, P., Pollack, J., Saunders, G.
713: (8,-17) "Clustering with a Domain-Specific Distance Measure" by Gold, S., Mjolsness, E., Rangarajan, A.
714: (12,-19) "Central and Pairwise Data Clustering by Competitive Neural Networks" by Buhmann, J., Hofmann, T.
715: (11,1) "Learning Classification with Unlabeled Data" by de-Sa, V.
716: (27,-27) "Supervised Learning from Incomplete Data via an EM Approach" by Ghahramani, Z., Jordan, M.
717: (0,17) "Training Neural Networks with Deficient Data" by Ahmad, S., Neuneier, R., Tresp, V.
718: (-1,-1) "Unsupervised Parallel Feature Extraction from First Principles" by Lenz, R., Osterberg, M.
719: (4,-5) "Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples" by Sanger, T.
720: (8,0) "Fast Non-Linear Dimension Reduction" by Kambhatla, N., Leen, T.
721: (21,-16) "Assessing the Quality of Learned Local Models" by Atkeson, C., Schaal, S.
722: (4,-7) "Efficient Computation of Complex Distance Metrics Using Hierarchical Filterin" by Simard, P.
723: (18,-13) "The Power of Amnesia" by Ron, D., Singer, Y., Tishby, N.
724: (17,-2) "Locally Adaptive Nearest Neighbor Algorithms" by Dietterich, T., Wettschereck, D.
725: (16,-33) "Robust Parameter Estimation and Model Selection for Neural Network Regressio" by Liu, Y.
726: (0,11) "Bayesian Backpropagation over I-O Functions Rather Than Weights" by Wolpert, D.
727: (3,7) "Bayesian Backprop in Action: Pruning, Committees, Error Bars, and an Application to Spectroscopy" by Thodberg, H.
728: (9,-2) "A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction" by Dietterich, T., Jain, A., Lathrop, R., Lozano-Perez, T.
729: (-12,36) "Combined Neural Networks for Time Series Analysis" by Ginzburg, I., Horn, D.
730: (13,21) "Backpropagation without Multiplication" by Graf, H., Simard, P.
731: (1,51) "A Comparative Study of a Modified Bumptree Neural Network with Radial Basis Function Networks and the Standard Multi-Layer Perceptron" by Bostock, R., Harget, A.
732: (15,-5) "Adaptive Knot Placement for Nonparametric Regression" by Cherkassky, V., Najafi, H.
733: (3,32) "Supervised Learning with Growing Cell Structures" by Fritzke, B.
734: (8,24) "Optimal Brain Surgeon: Extensions and Performance Comparisons" by Hassibi, B., Stork, D., Watanabe, T., Wolff, G.
735: (-2,45) "Generation of Internal Representation by a-Transformation" by Kamimura, R.
736: (-4,27) "Constructive Learning Using Internal Representation Conflicts" by Jabri, M., Leerink, L.
737: (15,-24) "Learning in Compositional Hierarchies: Inducing the Structure of Objects from Data" by Utans, J.
738: (3,-6) "An Optimization Method of Layered Neural Networks Based on the Modified Information Criterion" by Watanabe, S.
739: (32,28) "Optimal Stopping and Effective Machine Complexity in Learning" by Judd, J., Venkatesh, S., Wang, C.
740: (12,10) "Agnostic PAC-Leaming of Functions on Analog Neural Nets" by Maass, W.
741: (3,10) "How to Choose an Activation Function" by Mhaskar, H., Micchelli, C.
742: (17,20) "Learning Curves: Asymptotic Values and Rate of Convergence" by Cortes, C., Denker, J., Jackel, L., Solla, S., Vapnik, V.
743: (-10,15) "Recovering a Feed-Forward Net from Its Output" by Fefferman, C., Markel, S.
744: (13,22) "Use of Bad Training Data for Better Predictions" by Grossman, T., Lapedes, A.
745: (13,-5) "Hoo Optimality Criteria for LMS and Backpropagation" by Hassibi, B., Kailath, T., Sayed, A.
746: (-13,26) "Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines" by Home, B., Hush, D.
747: (4,32) "Generalization Error and the Expected Network Complexity" by Ji, C.
748: (-1,8) "Counting Function Theorem for Multi-Layer Networks" by Kowalczyk, A.
749: (14,8) "Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization" by Mangasarian, O., Solodov, M.
750: (9,19) "Cross-Validation Estimates IMSE" by Plutowski, M., Sakata, S., White, H.
751: (11,21) "Discontinuous Generalization in Large Committee Machines" by Hertz, J., Schwarze, H.
752: (4,2) "Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks" by Prtigel-Bennett, A., Shapiro, J.
753: (10,-16) "Structured Machine Learning for "Soft" Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation" by Gu, C., Klein, B., Klein, R., Wahba, G., Wang, Y.
754: (10,12) "Solvable Models of Artificial Neural Networks" by Watanabe, S.
755: (-5,18) "On the Non-Existence of a Universal Learning Algorithm for Recurrent Neural Networks" by Wiklicky, H.
756: (2,-12) "The Statistical Mechanics of k-Satisfaction" by Gyorgyi, G., Kirkpatrick, S., Tishby, N., Troyansky, L.
757: (-8,-14) "Coupled Dynamics of Fast Neurons and Slow Interactions" by Coolen, A., Penney, R., Sherrington, D.
758: (-13,18) "Observability of Neural Network Behavior" by Botelho, F., Garzon, M.
759: (-30,-6) "How to Describe Neuronal Activity: Spikes, Rates, or Assemblies?" by Gerstner, W., vanHemmen, J.
760: (-17,-7) "Correlation Functions in a Large Stochastic Neural Network" by Ginzburg, I., Sompolinski, H.
761: (19,1) "Optimal Stochastic Search and Adaptive Momentum" by Leen, T., Orr, G.
762: (-22,1) "Optimal Signalling in Attractor Neural Networks" by Meilijson, I., Ruppin, E.
763: (-12,5) "Asynchronous Dynamics of Continuous Time Neural Networks" by Blum, E., Li, Q., Wang, X.
764: (-6,14) "Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamic" by Kolen, J.
765: (-29,-9) "Dynamic Modulation of Neurons and Networks" by Marder, E.
766: (-33,-17) "Amplifying and Linearizing Apical Synaptic Inputs to Cortical Pyramidal Cells" by Bernander, O., Douglas, R., Koch, C.
767: (-22,-8) "Odor Processing in the Bee: A Preliminary Study of the Role of Central Input to the Antennal Lobe" by Kerszberg, M., Linster, C., Marson, D., Masson, C.
768: (-19,-15) "Lower Boundaries of Motoneuron Desynchronization via Renshaw Interneurons" by Druzinsky, R., Heckman, C., Maltenfort, M., Rymer, W.
769: (-15,-25) "Development of Orientation and Ocular Dominance Columns in Infant Macaque" by Blasdel, G., Kiorpes, L., Obermayer, K.
770: (-8,-20) "Statistics of Natural Images: Scaling in the Woods" by Bialek, W., Ruderman, D.
771: (-17,-16) "Dopaminergic Neuromodulation Brings a Dynamical Plasticity to the Retina" by Boussard, E., Vibert, J.
772: (-6,-16) "A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillatio" by Doya, K., Rowat, P., Selverston, A.
773: (-26,-18) "Directional Hearing by the Mauthner System" by Eaton, R., Guzik, A.
774: (-18,-14) "An Analog VLSI Saccadic Eye Movement System" by Bisofberger, B., Horiuchi, T., Koch, C.
775: (6,-23) "Bayesian Modeling and Classification of Neural Signals" by Lewicki, M.
776: (0,-5) "Foraging in an Uncertain Environment Using Predictive Hebbian Learning" by Dayan, P., Montague, P., Sejnowski, T.
777: (-11,11) "A Connectionist Model of the Owl's Sound Localization System" by Knudsen, E., Rosen, D., Rumelhart, D.
778: (-1,-5) "Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements" by Sanger, T.
779: (-19,-15) "An Analog VLSI Model of Central Pattern Generation in the Leech" by Siegel, M.
780: (-23,-16) "Synchronization, Oscillations, and l/f Noise in Networks of Spiking Neurons" by Koch, C., Olami, Z., Stemmler, M., Usher, M.
781: (45,-5) "Transition Point Dynamic Programming" by Buckland, K., Lawrence, P.
782: (16,11) "Exploiting Chaos to Control the Future" by Chen, H., Flake, G., Lee, Y., Sun, G.
783: (45,-3) "Robust Reinforcement Learning in Motion Planning" by Barto, A., Connolly, C., Ginpen, R., Singh, S.
784: (24,-10) "Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming" by Atkeson, C.
785: (5,12) "Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach" by Boyan, J., Littman, M.
786: (7,8) "Neural Network Exploration Using Optimal Experiment Design" by Cohn, D.
787: (21,-10) "Monte Carlo Matrix Inversion and Reinforcement Learning" by Barto, A., Duff, M.
788: (44,-14) "Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms" by Barto, A., Gullapalli, V.
789: (38,-6) "Convergence of Stochastic Iterative Dynamic Programming Algorithms" by Jaakkola, T., Jordan, M., Singh, S.
790: (23,-8) "The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces" by Moore, A.
791: (-8,8) "Mixtures of Controllers for Jump Linear and Non-Linear Plants" by Cacciatore, T., Nowlan, S.
792: (4,-28) "A Computational Model for Cursive Handwriting Based on the Minimization Principle" by Kawato, M., Koike, Y., Vatikiotis-Bateson, E., Wada, Y.
793: (-12,24) "Signature Verification Using a "Siamese" Time Delay Neural Network" by Bromley, J., Guyon, I., LeCun, Y., Sackinger, E., Shah, R.
794: (-13,8) "Postal Address Block Location Using a Convolutional Locator Network" by Platt, J., Wolf, R.
795: (-11,38) "Non-Intrusive Gaze Tracking Using Artificial Neural Networks" by Baluja, S., Pomerleau, D.
796: (3,-15) "Hidden Markov Models for Human Genes" by Baldi, P., Brunak, S., Chauvin, Y., Englebrecht, J., Krogh, A.
797: (-7,-9) "Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina" by Buhmann, J., Eeckman, F., Lades, M.
798: (-5,4) "Recognition-Based Segmentation of On-Line Cursive Handwriting" by Flann, N.
799: (-7,-9) "Address Block Location with a Neural Net System" by Cosatto, E., Graf, H.
800: (2,31) "Identifying Fault-Prone Software Modules Using Feed-Forward Networks: A Case Study" by Kamnanithi, N.
801: (-8,33) "Comparison Training for a Rescheduling Problem in Neural Networks" by Keymeulen, D., de-Gerlache, M.
802: (-3,14) "Neural Network Definitions of Highly Predictable Protein Secondary Structure Classes" by Farber, R., Lapedes, A., Steeg, E.
803: (-1,24) "Temporal Difference Learning of Position Evaluation in the Game of Go" by Dayan, P., Schraudolph, N., Sejnowski, T.
804: (14,-27) "Probabilistic Anomaly Detection in Dynamic Systems" by Smyth, P.
805: (9,-17) "Decoding Cursive Scripts" by Singer, Y., Tishby, N.
806: (-7,6) "A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications" by Glover, M., Miller, W.
807: (-21,26) "A Hybrid Radial Basis Function Neurocomputer and Its Applications" by Chau, P., Lambrigsten, B., Plutowski, M., Tawel, R., Watkins, S.
808: (14,28) "A Learning Analog Neural Network Chip with Continuous-Time Recurrent Dynamics" by Cauwenberghs, G.
809: (-19,-12) "VLSI Phase Locking Architectures for Feature Linking in Multiple Target Tracking Systems" by Andreou, A., Edwards, T.
810: (-13,3) "WATTLE: A Trainable Gain Analogue VLSI Neural Network" by Coggins, R., Jabri, M.
811: (-8,-6) "The "Softmax" Nonlinearity: Derivation Using Statistical Mechanics and Useful Properties as a Multiterminal Analog Circuit Element" by Elfadel, I., Wyatt, J.
812: (-6,6) "High Performance Neural Net Simulation on a Multiprocessor System with "Intelligent" Communication" by Gunzinger, A., Kocheisen, M., Muller, U.
813: (5,11) "Digital Boltzmann VLSI for Constraint Satisfaction and Learning" by Boonyanit, K., Burr, J., Kritayakirana, K., Leung, M., Murray, M., Peterson, A., Schwartz, E., Stork, D., Watanabe, T., Wolff, G.
814: (-14,-7) "Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture" by Brettle, D., Niebur, E.
815: (9,10) "Learning Complex Boolean Functions: Algorithms and Applications" by Oliveira, A., Sangiovanni-Vincentelli, A.
816: (-18,-6) "Implementing Intelligence on Silicon Using Neuron-Like Functional MOS  Transistors" by Ishii, H., Kosaka, H., Kotani, K., Ohmi, T., Shibata, T., Yamashita, T.
817: (-23,-9) "Event-Driven Simulation of Networks of Spiking Neurons" by Watts, L.
818: (-11,22) "Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models" by Bengio, Y., Henderson, D., LeCun, Y.
819: (-2,-16) "Classifying Hand Gestures with a View-Based Distributed Representation" by Darrell, T., Pentland, A.
820: (-13,-25) "A Network Mechanism for the Determination of Shape-from-Texture" by Finkel, L., Sakai, K.
821: (1,3) "Feature Densities Are Required for Computing Feature Correspondences" by Ahmad, S.
822: (-12,-22) "The Role of MT Neuron Receptive Field Surrounds in Computing Object Shape from Velocity Fields" by Albright, T., Buracas, G.
823: (-3,-16) "Resolving Motion Ambiguities" by Diamantaras, K., Geiger, D.
824: (1,-18) "Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching" by Lu, C., Mjolsness, E.
825: (-21,-19) "Dual Mechanisms for Neural Binding and Segmentation" by Finkel, L., Sajda, P.
826: (-1,-7) "Bayesian Self-Organization" by Smimakis, S., Xu, L., Yuille, A.
827: (-12,6) "Analysis of Short Term Memories for Neural Networks" by Hsu, H., Kuo, J., Principe, J.
828: (3,13) "Figure of Merit Training for Detection and Spotting" by Chang, E., Lippmann, R.
829: (-15,13) "Lipreading by Neural Networks: Visual Preprocessing, Learning, and Sensory Integration" by Hennecke, M., Prasad, K., Stork, D., Wolff, G.
830: (4,4) "Speaker Recognition Using Neural Tree Networks" by Farrell, K., Mammone, R.
831: (-13,2) "Inverse Dynamics of Speech Motor Control" by Hirayama, M., Kawato, M., Vatikiotis-Bateson, E.
832: (-9,13) "Learning Temporal Dependencies in Connectionist Speech Recognition" by Hochberg, M., Renals, S., Robinson, T.
833: (-13,25) "Segmental Neural Net Optimization for Continuous Speech Recognition" by Makhoul, J., Schwartz, R., Zavaliagkos, G., Zhao, Y.
834: (-11,-11) "Connectionist Models for Auditory Scene Analysis" by Duda, R.
835: (13,-10) "Computational Elements of the Adaptive Controller of the Human Arm" by Mussa-Ivaldi, F., Shadmehr, R.
836: (-11,19) "Tonal Music as a Componential Code: Learning Temporal Relationships between and within Pitch and Timing Components" by Stevens, C., Wiles, J.
837: (4,30) "GDS: Gradient Descent Generation of Symbolic Classification Rules" by Blasig, R.
838: (-1,19) "Emergence of Global Structure from Local Associations" by Ghiselli-Crippa, T., Munro, P.
839: (-3,-10) "Estimating Analogical Similarity by Dot-Products of Holographic Reduced Representations" by Plate, T.
840: (-4,37) "Analyzing Cross-Connected Networks" by Elman, J., Shultz, T.
841: (-8,19) "Encoding Labeled Graphs by Labeling RAAM" by Sperduti, A.
842: (14,42) "Learning Mackey-Glass from 25 Examples, Plus or Minus 2" by Cottrell, G., Plutowski, M., White, H.
843: (-10,9) "Classification of Multi-Spectral Pixels by the Binary Diamond Neural Network" by Salu, Y.
844: (-4,-3) "Classification of Electroencephalogram Using Artificial Neural Networks" by Sergejew, A., So, D., Tsoi, A.
845: (-43,-27) "DIRECTION SELECTIVITY IN PRIMARY VISUAL CORTEX USING MASSIVE INTRACORTICAL CONNECTIONS" by Douglas, R., Koch, C., Suarez, H.
846: (-11,6) "ON THE COMPUTATIONAL UTIL1TY OF CONSCIOUSNESS" by Mathis, D., Mozer, M.
847: (37,11) "CATASTROPHIC INTERFERENCE IN HUMAN MOTOR LEARNING" by Brashers-Krug, T., Shadmehr, R., Todorov, E.
848: (-5,9) "GRAMMAR LEARNING BY A SELF-ORGANIZING NETWORK" by Negishi, M.
849: (-17,14) "PATTERNS OF DAMAGE IN NEURAL NETWORKS: THE EFFECTS OF LESION AREA, SHAPE AND NUMBER" by Reggia, J., Ruppin, E.
850: (-2,-24) "FORWARD DYNAMIC MODELS IN HUMAN MOTOR CONTROL: PSYCHOPHYSICAL EVIDENCE" by Ghahramani, Z., Jordan, M., Wolpert, D.
851: (-8,-7) "A SOLVABLE CONNECTIONIST MODEL OF IMMEDIATE RECALL OF ORDERED LISTS" by Burgess, N.
852: (-8,-24) "A MODEL FOR CHEMOSENSORY RECEPTION" by Hammer, M., Malaka, R., Ragg, T.
853: (-20,-13) "THE ELECTRONIC TRANSFORMATION: A TOOL FOR RELATING NEURONAL FORM TO FUNCTION" by Brown, T., Camevale, N., Claiborne, B., Tsai, K.
854: (-29,-5) "A MODEL OF THE HIPPOCAMPUS COMBINING SELF-ORGANIZATION AND ASSOCIATIVE MEMORY FUNCTION" by Hasselmo, M., Schnell, E.
855: (-32,4) "MODEL OF BIOLOGICAL NEURON AS A TEMPORAL NEURAL NETWORK" by Kairiss, E., Murphy, S.
856: (-4,-36) "A CRITICAL COMPARISON OF MODELS FOR ORIENTATION AND OCULAR DOMINANCE COLUMNS IN THE STRIATE CORTEX" by Erwin, E., Obermayer, K., Schulten, K.
857: (-3,-9) "A NOVEL REINFORCEMENT MODEL OF BIRDSONG VOCALIZATION LEARNING" by Doya, K., Sejnowski, T.
858: (-39,-13) "OCULAR DOMINANCE AND PATTERNED LATERAL CONNFL-TIONS IN A SELF-ORGANIZING MODEL OFTHE PRIMARY VISUAL CORTEX" by Miikkulainen, R., Sirosh, J.
859: (-17,-17) "ANATOMICAL ORIGIN AND COMPUTATIONAL ROLE OF DIVERSITY IN THE RESPONSE PROPERTIES OF CORTICAL NEURONS" by Edelman, S., Malach, R., Spector, K.
860: (-1,8) "REINFORCEMENT LEARNING PREDICTS THE SITE OF PLASTICITY FOR AUDITORY REMAPPING IN THE BARN OWL" by Deffayet, C., Pouget, A., Sejnowski, T.
861: (-27,-28) "MORPHOGENESIS OF THE LATERAL GENICULATE NUCLEUS: HOW SINGULARITIES AFFECT GLOBAL STRUCTURE" by Malpeli, J., Schulten, K., Tzonev, S.
862: (-19,-10) "A COMPUTATIONAL MODEL OF PREFRONTAL CORTEX FUNCTION" by Braver, T., Cohen, J., Servan-Schreiber, D.
863: (-23,0) "A NEURAL MODEL OF DELUSIONS AND HALLUCINATIONS IN SCHIZOPHRENIA" by Horn, D., Reggia, J., Ruppin, E.
864: (-22,-23) "SPATIAL REPRESENTATIONS IN THE PARIETAL CORTEX MAY USE BASIS FUNCTIONS" by Pouget, A., Sejnowski, T.
865: (-24,-19) "GROUPING COMPONENTS OF THREE-DIMENSIONAL MOVING OBJECTS IN AREA MST OF VISUAL CORTEX" by Sejnowski, T., Zemel, R.
866: (-40,-34) "A MODEL OF THE NEURAL BASIS OF THE RAT'S SENSE OF DIRECTION" by Knierim, J., Kudrimoti, H., McNaughton, B., Skaggs, W.
867: (-23,2) "ON THE COMPUTATIONAL COMPLEXITY OF NETWORKS OF SPIKING NEURONS" by Maass, W.
868: (15,-9) "H-INFINTY OPTIMAL TRAINING ALGORITHMS AND THEIR RELATION TO BACKPROPAGATION" by Hassibi, B., Kailath, T.
869: (-19,-1) "SYNCHRONY AND DESYNCHRONY IN NEURAL OSCILLATOR NETWORKS" by Terman, D., Wang, D.
870: (22,11) "LEARNING IN LARGE LINEAR PERCEPTRONS AND WHY THE THERMODYNAMIC LIMIT IS RELEVANT TO THE REAL WORLD" by Sollich, P.
871: (7,-2) "GENERALISATION IN FEEDFORWARD NETWORKS" by Ferra, H., Kowalczyk, A.
872: (7,4) "FROM DATA DISTRIBUTIONS TO REGULARIZATION IN INVARIANT LEARNING" by Leen, T.
873: (20,32) "NEURAL NETWORK ENSEMBLES, CROSS VALIDATION, AND ACTIVE LEARNING" by Krogh, A., Vedelsby, J.
874: (37,42) "LIMITS ON LEARNING MACHINE ACCURACY IMPOSED BY DATA QUAL1TY" by Chiang, W., Cortes, C., Jackel, L.
875: (-1,14) "HIGHER ORDER STATISTICAL DECORRELATION WITHOUT INFORMATION LOSS" by Brauer, W., Deco, G.
876: (13,2) "HYPERPARAMETERS, EVIDENCE AND GENERALISATION FOR AN UNREALISABLE RULE" by Marion, G., Saad, D.
877: (16,13) "TEMPORAL DYNAMICS OF GENERALIZATION IN NEURAL NETWORKS" by Venkatesh, S., Wang, C.
878: (-10,-1) "STOCHASTIC DYNAMICS OF THREE-STATE NEURAL NETWORKS" by Cowan, J., Ohira, T.
879: (17,1) "LEARNING STOCHASTIC PERCEPTRONS UNDER K-BLOCKING DISTRIBUTIONS" by Hadjifaradji, S., Marchand, M.
880: (27,18) "LEARNING FROM QUERIES FOR MAXIMUM INFORMATION GAIN IN IMPERFECTLY LEARNABLE PROBLEMS" by Saad, D., Sollich, P.
881: (12,-9) "BIAS, VARIANCE AND THE COMBINATION OF LEAST SQUARES ESTIMATORS" by Meir, R.
882: (28,10) "ON-LINE LEARNING OF DICHOTOMIES" by Barkai, N., Seung, H.
883: (-3,10) "DYNAMIC MODELLING OF CHAOTIC TIME SERIES W1TH NEURAL NETWORKS" by Kuo, J., Principe, J.
884: (-11,-4) "A RIGOROUS ANALYSIS OF LINSKER-TYPE HEBBIAN LEARNING" by Feng, J., Pan, H., Roychowdhury, V.
885: (4,3) "SAMPLE SIZE REQUIREMENTS FOR FEEDFORWARD NEURAL NETWORKS" by Fine, T., Tunnon, M.
886: (12,4) "ASYMPTOTICS OF GRADIENT-BASED NEURAL NETWORK TRAINING ALGORITHMS" by Fine, T., Mukherjee, S.
887: (40,-11) "REINFORCEMENT LEARNING ALGORITHM FOR PARTIALLY OBSERVABLE MARKOV DECISION PROBLEMS" by Jaakkola, T., Jordan, M., Singh, S.
888: (49,6) "ADVANTAGE UPDATING APPLIED TO A DIFFERENTIAL GAME" by Baird, L., Harmon, M., Klopf, A.
889: (53,-9) "REINFORCEMENT LEARNING W1TH SOFT STATE AGGREGATION" by Jaakkola, T., Jordan, M., Singh, S.
890: (42,-7) "GENERALIZATION IN REINFORCEMENT LEARNING: SAFELY APPROXIMATING THE VALUE FUNCTION" by Boyan, J., Moore, A.
891: (50,-9) "INSTANCE-BASED STATE IDENTIFICATION FOR REINFORCEMENT LEARNING" by McCallum, R.
892: (43,1) "FINDING STRUCTURE IN REINFORCEMENT LEARN1NG" by Schwartz, A., Thrun, S.
893: (35,-4) "REINFORCEMENT LEARNING METHODS FOR CONTINUOUS-TIME MARKOV DECISION PROBLEMS" by Bradtke, S., Duff, M.
894: (37,-7) "AN ACTOR/CRITIC ALGORITHM THAT IS EQUIVALENT TO Q-LEARNING" by Barto, A., Crites, R.
895: (23,13) "FINANCIAL APPLICATIONS OF LEARNING FROM HINTS" by Abu-Mostafa, Y.
896: (7,3) "COMBINING ESTIMATORS USING NON-CONSTANT WEIGHTING FUNCTIONS" by Taniguchi, M., Tresp, V.
897: (4,23) "AN INPUT OUTPUT HMM ARCHITECTURE" by Bengio, Y., Frasconi, P.
898: (7,20) "BOLTZMANN CHAINS AND HIDDEN MARKOV MODELS" by Jordan, M., Saul, L.
899: (9,-8) "BAYESIAN QUERY CONSTRUCTION FOR NEURAL NETWORK MODELS" by Kindermann, J., Paass, G.
900: (-24,35) "USING A SALIENCY MAP FOR ACTIVE SPATIAL SUBJECTIVE ATTENTION: IMPLEMENTATION &INITIAL RESULTS" by Baluja, S., Pomerleau, D.
901: (17,-30) "MULTIDIMENSIONAL SCALING AND DATA CLUSTERING" by Buhmann, J., Hofmann, T.
902: (-2,10) "A NON-LINEAR INFORMATION MAXIMISATION ALGORITHM THAT PERFORMS BLIND SEPARATION" by Bell, A., Sejnowski, T.
903: (-1,-1) "PLASTICITY-MEDIATED COMPEIITIVE LEARNING" by Schraudolph, N., Sejnowski, T.
904: (4,49) "PHASE-SPACE LEARNING" by Cottrell, G., Tsung, F.
905: (12,25) "LEARNING LOCAL ERROR BARS FOR NONLINEAR REGRESSION" by Nix, D., Weigend, A.
906: (8,25) "DYNAMIC CELL STRUCTURES" by Bmske, JO., Sommer, G.
907: (-8,37) "EXTRACTING RULES FROM ARTIFICIAL NEURAL NETWORKS WITH DISTRIBUTED REPRESENTATIONS" by Thrun, S.
908: (-18,5) "CAPAClTY AND INFORMATION EFFICIENCY OF A BRAIN-LIKE ASSOCIATIVE NET" by Graham, B., Willshaw, D.
909: (3,22) "BOOSTING THE PERFORMANCE OF RBF NETWORKS WITH DYNAMIC DECAY ADJUSTMENT" by Berthold, M., Diamond, J.
910: (10,21) "SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA" by Hochreiter, S., Schmidhuber, J.
911: (5,31) "LEARNING WITH PRODUCT UNITS" by Giles, C., Horne, B., Jabri, M., Leerink, L.
912: (21,-19) "DETERMINISTIC ANNEALING VARIANT OF THE EM ALGORITHM" by Nakano, R., Ueda, N.
913: (16,-5) "DIFFUSION OF CREDIT IN MARKOVIAN MODELS" by Bengio, Y., Frasconi, P.
914: (20,-8) "FACTORIAL LEARNING BY CLUSTERING FEATURES" by Tenenbaum, J., Todorov, E.
915: (14,3) "INTERIOR POINT IMPLEMENTATIONS OF ALTERNATING MINIMIZATION TRAINING" by Lemmon, M., Szymanski, P.
916: (-9,9) "SARDNET: A SELF-ORGANIZING FEATURE MAP FOR SEQUENCES" by James, D., Miikkulainen, R.
917: (25,-7) "CONVERGENCE PROPERTIES OF THE K-MEANS ALGORITHMS" by Bengio, Y., Bottou, L.
918: (29,2) "ACIIVE LEARNING FOR FUNCTION APPROXIMATION" by Niyogi, P., Sung, K.
919: (-9,34) "ANALYSIS OF UNSTANDARDIZED CONTRIBUTIONS IN CROSS CONNECTED NETWORKS" by Oshima-Takane, Y., Shultz, T., Takane, Y.
920: (2,20) "TEMPLATE-BASED ALGORITHMS FOR CONNECTIONIST RULE EXTRACTION" by Alexander, J., Mozer, M.
921: (26,-2) "FACTORIAL LEARNING AND THE EM ALGORITHM" by Ghahramani, Z.
922: (-5,15) "A GROWING NEURAL GAS NETWORK LEARNS TOPOLOGIES" by Fritzke, B.
923: (14,-13) "AN ALTERNATIVE MODEL FOR MIXTURES OF EXPERTS" by Hinton, G., Jordan, M., Xu, L.
924: (4,-6) "ESTIMATING CONDITIONAL PROBABILITY DENSroES FOR PERIODIC VARIABLES" by Bishop, C., Legleye, C.
925: (10,21) "EFFECTS OF NOISE ON CONVERGENCE AND GENERALIZATION IN RECURRENT NETWORKS" by Giles, C., Horne, B., Jim, K.
926: (18,20) "LEARNING MANY RELATED TASKS AT THE SAME TIME WITH BACKPROPAGATION" by Camana, R.
927: (4,-1) "A RAPID GRAPH-BASED METHOD FOR ARBITRARY TRANSFORMATION-INVARIANT PATFERN CLASSIFICATION" by Sperduti, A., Stork, D.
928: (-3,29) "RECURRENT NETWORKS: SECOND ORDER PROPERTIES AND PRUNING" by Hansen, L., Pedersen, M.
929: (16,-25) "CLASSIFYING WITH GAUSSIAN MIXTURES AND CLUSTERS" by Kambhatla, N., Leen, T.
930: (4,8) "EFFICIENT METHODS FOR DEALING WITH MISSING DATA IN SUPERVISED LEARNING" by Ahmad, S., Neuneier, R., Tresp, V.
931: (-8,41) "AN EXPERIMENTAL COMPARISON OF RECURRENT NEURAL NETWORKS" by Giles, C., Horne, B.
932: (11,-3) "ACTIVE LEARNING wrrH STATISTICAL MODELS" by Cohn, D., Ghahramani, Z., Jordan, M.
933: (9,-13) "LEARNING WITH PREKNOWLEDGE: CLUSTERING WITH FOINT AND GRAPH MATCHING DISTANCE MEASURES" by Gold, S., Mjolsness, E., Rangarajan, A.
934: (30,32) "DIRECT MULTI-STEP TIME SERIES PREDICTION USING TD(LAMBDA)" by Kazlas, P., Weigend, A.
935: (-13,12) "ICEG MORPHOLOGY CLASSIFICATION USING AN ANALOGUE VLSI NEURAL NETWORK" by Flower, B., Jabri, M., Pickard, S.
936: (-19,-11) "A SILICON AXON" by Coggins, R., Diorio, C., Hasler, P., Mead, C., Minch, B.
937: (0,5) "THE NI1000: HIGH SPEED PARALLEL VLSI FOR IMPLEMENTING MULTILAYER PERCEPTRONS" by Cooper, L., Perrone, M.
938: (-12,-4) "A REAL TIME CLUSTERING CMOS NEURAL ENGINE" by Huertas, J., Linares-Barranco, B., Serrano-Gotarredona, T.
939: (-12,-6) "PULSESTREAM SYNAPSES WITH NON-VOLATILE ANALOGUE AMORPHOUS-SILICON MEMORIES" by Churcher, S., Hajto, J., Holmes, A., Murray, A., Rose, M.
940: (-10,27) "A LAGRANGIAN FORMULATION FOR OPTICAL BACKPROPAGATION TRAINING IN KERR-TYPE OPTICAL NETWORKS" by Behrman, E., Cmz-Cabrara, A., Skinner, S., Steck, J.
941: (-17,-4) "A CHARGE-BASED CMOS PARALLEL ANALOG VECTOR QUANTIZER" by Cauwenberghs, G., Pedroni, V.
942: (-16,-11) "AN AUD1TORY LOCALIZATION AND COORDINATE TRANSFORM CHIP" by Horiuchi, T.
943: (-17,3) "AN ANALOG NEURAL NETWORK INSPIRED BY FRACFAL BLOCK CODING" by Andreou, A., Pineda, F.
944: (15,8) "A STUDY OF PARALLEL PERTURBATIVE GRADIENT DESCENT" by Alspector, J., Lippe, D.
945: (-14,4) "IMPLEMENTATION OF NEURAL HARDWARE WrFH THE NEURAL VLSI OF URAN IN APPLICATIONS WITH REDUCED REPRESENTATIONS" by Han, I., Kim, K., Lee, H.
946: (-15,-7) "SINGLE TRANSISTOR LEARNING SYNAPSES" by Hasler, P.
947: (-11,-13) "PATIERN PLAYBACK IN THE '90S" by Slaney, M.
948: (3,0) "NON-LINEAR PREDICTION OF ACOUSTIC VECTORS USING HIERARCHICAL MIXTURES OF EXPERTS" by Robinson, A., Waterhouse, S.
949: (-10,26) "GLOVE-TALK II: MAPPING HAND GESTURES TO SPEECH USING NEURAL NETWORKS" by Fels, S., Hinton, G.
950: (-6,-6) "VISUAL SPEECH RECOGNITION WITH STOCHASTIC NETWORKS" by Movellan, J.
951: (1,1) "HIERARCHICAL MIXTURES OF EXPERTS METHODOLOGY APPLIED TO CONTINUOUS SPEECH RECOGNITION" by Makhoul, J., Schwartz, R., Sroka, J., Zhao, Y.
952: (-1,8) "CONNECTIONIST SPEAKER NORMALIZATION WITH GENERALIZED RESOURCE ALLOCATING NETWORKS" by Furlanello, C., Giuliani, D., Trentin, E.
953: (4,14) "USING VOICE TRANSFORMATIONS TO CREATE ADDITIONAL TRAINING TALKERS FOR WORD SPOTTING" by Chang, E., Lippmann, R.
954: (-9,1) "A COMPARISON OF DISCRETE-TIME OPERATOR MODELS FOR NONLINEAR SYSTEM IDENTIFICATION" by Back, A., Tsoi, A.
955: (1,-15) "LEARNING SACCADIC EYE MOVEMENTS USING MULTISCALE SPATIAL FILTERS" by Ballard, D., Rao, R.
956: (-14,22) "A CONVOLUTIONAL NEURAL NETWORK HAND TRACKER" by Nowlan, S., Platt, J.
957: (0,-21) "CORRELATION AND INTERPOLATION NETWORKS FOR REAL-TIME EXPRESSION ANALYSIS/SYNTHESIS" by Darrell, T., Essa, I., Pentland, A.
958: (37,13) "LEARNING DIRECTION IN GLOBAL MOTION: TWO CLASSES OF PSYCHOPHYSICAI J .Y-MOTIVATED MODELS" by Sundareswaran, V., Vaina, L.
959: (-27,-16) "ASSOCIATIVE DECORRELATION DYNAMICS: A THEORY OF SELF-ORGANIZATION AND OPTIMIZATION IN FEEDBACK NETWORKS" by Dong, D.
960: (-2,20) "JPMAX: LEARNING TO RECOGNIZE MOVING OBJECTS AS A MODEL-FITTING PROBLEM" by Becker, S.
961: (-7,24) "PCA-PYRAMIDS FOR IMAGE COMPRESSION" by Bischof, H., Hornik, K.
962: (-14,27) "UNSUPERVISED CLASSIFICATION OF 3D OBJECFS FROM 2D VIEWS" by Ando, H., Suzuki, S.
963: (5,-14) "NEW ALGORITHMS FOR 2D AND 3D POINT MATCHING: POSE ESTIMATION AND CORRESPONDENCE" by Gold, S., Lu, C., Mjolsness, E., Pappu, S., Rangarajan, A.
964: (2,-11) "USING A NEURAL NETTO INSTANTlATE A DEFORMABLE MODEL" by Hinton, G., Revow, M., Williams, C.
965: (6,-13) "NONLINEAR IMAGE INTERPOLATION USING MANIFOLD LEARNING" by Bregler, C., Omohundro, S.
966: (-14,26) "COARSE-TO-FINE IMAGE SEARCH USING NEURAL NETWORKS" by Bergen, J., Pearson, J., Spence, C.
967: (4,14) "TRANSFORMATION INVARIANT AUTOASSOCIATION WITH APPLICATION TO HANDWRrITEN CHARACTER RECOGNITION" by Milgram, M., Schwenk, H.
968: (9,-18) "LEARNING PROTOTYPE MODELS FOR TANGENT DISTANCE" by Hastie, T., Sackinger, E., Simard, P.
969: (-11,16) "REAL-TIME CONTROL OF TOKAMAK PLASMA USING NEURAL NETWORKS" by Bishop, C., Haynes, P., Smith, M., Todd, T., Trotman, D., Windsor, C.
970: (11,-16) "RECOGNIZING HANDWRITEN DIGITS USING MIXTURES OF LINEAR MODELS" by Dayan, P., Hinton, G., Revow, M.
971: (2,-5) "OPTIMAL MOVEMENT PRIMITIVES" by Sanger, T.
972: (-47,92) "AN INTEGRATED ARCHITECTURE OF ADAPTIVE NEURAL NETWORK CONTROL FOR DYNAMIC SYSTEMS" by Ke, L., McVey, B., Tokar, R.
973: (-15,32) "A CONNECIIONIST TECHNIQUE FOR ACCELERATED TEXTUAL INPUT: LETTING A NETWORK DO THE TYPING" by Pomerleau, D.
974: (1,1) "PREDICTIVE CODING WITH NEURAL NETS: APPLICATION TO TEXT COMPRESSION" by Heil, S., Schmidhuber, J.
975: (-1,12) "PREDICTING THE RISK OF COMPLICATIONS IN CORONARY ARTERY BYPASS OPERATIONS USING NEURAL NETWORKS" by Kukolich, L., Lippmann, R., Shahian, D.
976: (-2,-6) "COMPARING THE PREDICTION ACCURACY OF ARTIFICIAL NEURAL NETWORKS AND OTHER STATISTICAL MODELS FOR BREAST CANCER SURVIVAL" by Burke, H., Goodman, P., Rosen, D.
977: (29,30) "LEARNING TO PLAY THE GAME OF CHESS" by Thmn, S.
978: (18,-21) "A MIXTURE MODEL SYSTEM FOR MEDICAL AND MACHINE DIAGNOSIS" by Sejnowski, T., Stensmo, M.
979: (9,-19) "INFERRING GROUND TRUTH FROM SUBJECTIVE LABELLING OF VENUS IMAGES" by Baldi, P., Burl, M., Fayyad, U., Perona, P., Smyth, P.
980: (-10,10) "THE USE OF DYNAMIC WRITING INFORMATION IN A CONNECTIONIST ON-LINE CURSIVE HANDWRITING RECOGNITION SYSTEM" by Finke, M., Manke, S., Waibel, A.
981: (-16,16) "ADAPTIVE ELASTIC INPUT FIELD FOR RECOGNITION IMPROVEMENT" by Asogawa, M.
982: (-1,13) "PAIRWISE NEURAL NETWORK CLASSIFIERS WITH PROBABILISTIC OUTPUTS" by Dreyfus, G., Knerr, S., Personnaz, L., Price, D.
983: (2,-7) "INTERFERENCE IN LEARNING INTERNAL MODELS OF INVERSE DYNAMICS IN HUMANS" by Brashers-Krug, T., Mussa-lvaldi, F., Shadmehr, R.
984: (-9,-10) "COMPUTATIONAL STRUCTURE OF COORDINATE TRANSFORMATIONS: A GENERALIZATION STUDY" by Ghahramani, Z., Jordan, M., Wolpert, D.
985: (17,-23) "Learning the Structure of Similarity" by Tenenbaum, J.
986: (-21,-16) "A Model of Spatial Representations in Parietal Cortex Explains Hemineglect" by Pouget, A., Sejnowski, T.
987: (-1,15) "Human Reading and the Curse of Dimensionality" by Martin, G.
988: (11,26) "Extracting Tree-structured Representations of Trained Networks" by Craven, M., Shavlik, J.
989: (-5,3) "Harmony Networks Do Not Work" by Gourley, R.
990: (-14,4) "Dynamics of Attention as Near Saddle-node Bifurcation Behavior" by Doya, K., Nakahara, H.
991: (11,7) "Rapid Quality Estimation of Neural Network Input Representations" by Cherkauer, K., Shavlik, J.
992: (-17,-23) "A Model of Auditory Streaming" by Denham, M., McCabe, S.
993: (-19,-27) "Modeling Interactions of the Rat's Place and Head Direction Systems" by Rexlish, A., Touretzky, D.
994: (-24,-23) "Correlated Neuronal Response: Time Scales and Mechanisms" by Bair, W., Koch, C., Zohary, E.
995: (-23,-25) "Information through a Spiking Neuron" by Stevens, C., Zador, A.
996: (-11,-8) "Reorganization of Somatosensory Cortex after Tactile Training" by Peterson, R., Taylor, J.
997: (-14,-30) "A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex" by Coenen, O., Sejnowski, T.
998: (-14,-17) "The Role of Activity in Synaptic Competition at the Neuromuscular Junction" by Joseph, S., Willshaw, D.
999: (-19,-14) "When Is an Integrate-and-fire Neuron like a Poisson Neuron?" by Stevens, C., Zador, A.
1000: (-16,5) "How Perception Guides Production in Birdsong Learning" by Fry, C.
1001: (-4,-15) "The Geometry of Eye Rotations and Listing's Law" by Flash, T., Handzel, A.
1002: (-24,-10) "Temporal Coding in the Submillisecond Range: Model of Barn Owl Auditory Pathway" by Gerstner, W., Kempter, R., Wagner, H., vanHemmen, J.
1003: (-27,7) "Cholinergic Suppression of Transmission May Allow Combined Associative Memory Function and Self-organization in the Neocortex" by Cekic, M., Hasselmo, M.
1004: (-14,-13) "A Predictive Switching Model of Cerebellar Movement Control" by Barto, A., Buckingham, J., Houk, J.
1005: (0,-16) "Independent Component Analysis of Eiectroencephalographic Data" by Bell, A., Jung, T., Makeig, S., Sejnowski, T.
1006: (-43,-38) "Simulation of a Thalamocortical Circuit for Computing Directional Heading in the Rat" by Blair, H.
1007: (-24,-1) "Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision" by Furukawa, T., Yasui, S.
1008: (24,16) "Learning Model Bias" by Baxter, J.
1009: (17,14) "Statistical Theory of Overtraining--Is Cross-Validation Asymptotically Effective?" by Amari, S., Finke, M., Mueller, K., Murata, N., Yang, H.
1010: (21,12) "A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split" by Kearns, M.
1011: (21,22) "Learning with Ensembles: How Overfitting Can Be Useful" by Krogh, A., Sollich, P.
1012: (4,16) "Neural Networks with Quadratic VC Dimension" by Koiran, P., Sontag, E.
1013: (12,-2) "Sample Complexity for Learning Recurrent Perceptron Mappings" by DasGupta, B., Sontag, E.
1014: (-26,-9) "On the Computational Power of Noisy Spiking Neurons" by Maass, W.
1015: (22,20) "A Realizable Learning Task Which Exhibits Overfitting" by Boes, S.
1016: (24,4) "Stable Dynamic Parameter Adaptation" by Rueget, S.
1017: (7,-7) "Estimating the Bayes Risk from Sample Data" by Snapp, R., Xu, T.
1018: (13,-24) "Recursive Estimation of Dynamic Modular RBF Networks" by Kadirkamanathan, M., Kadirkamanathan, V.
1019: (3,6) "On Neural Networks with Minimal Weights" by Bohossian, V., Bruck, J.
1020: (-5,-8) "Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks" by Coolen, A., Laughton, S., Sherrington, D.
1021: (20,-3) "Implementation Issues in the Fourier Transform Algorithm" by Mansour, Y., Sahar, S.
1022: (-10,18) "Generalisation of a Class of Continuous Neural Networks" by Shawe-Taylor, J., Zhao, J.
1023: (12,-1) "Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks" by Abdallah, C., Heileman, G., Howse, J.
1024: (-16,-17) "Optimization Principles for the Neural Code" by Bialek, W., Deweese, M.
1025: (14,6) "Strong Unimodality and Exact Learning of Constant Depth g-Perceptron Networks" by Hadjffaradji, S., Marchand, M.
1026: (22,13) "Active Learning in Multilayer Perceptrons" by Fukumizu, K.
1027: (18,19) "Dynamics of On-line Gradient Descent Learning for Multilayer Neural Networks" by Saad, D., Solla, S.
1028: (27,3) "Worst-case Loss Bounds for Single Neurons" by Helmbold, D., Kivinen, J., Warmuth, M.
1029: (16,5) "Exponentially Many Local Minima for Single Neurons" by Auer, P., Herbster, M., Warmuth, M.
1030: (27,26) "Adaptive Back-Propagation in On-line Learning of Multilayer Networks" by Saad, D., West, A.
1031: (-3,-12) "Optimizing Cortical Mappings" by Finch, S., Goodhill, G.
1032: (-12,7) "Quadratic-type Lyapunov Functions for Competitive Neural Networks with Different Time-scales" by Meyer-Baese, A., Ohl, F., Scheich, H.
1033: (17,2) "Examples of Learning Curves from a Modified VC-formalism" by Bartlett, P., Kowalczyk, A., Szymanski, J., Williamson, R.
1034: (15,-20) "Bayesian Methods for Mixtures of Experts" by MacKay, D., Robinson, A., Waterhouse, S.
1035: (1,-7) "Some Results on Convergent Unlearning Algorithm" by Seinenov, S., Shuvalova, LB.
1036: (10,2) "Geometry of Early Stopping in Linear Networks" by Dodier, R.
1037: (-10,-6) "Absence of Cycles in Symmetric Neural Networks" by Botelho, F., Garzon, M., Jagota, A., Wang, X.
1038: (15,-11) "Adaptive Mixture of Probabilistic Transducers" by Singer, Y.
1039: (6,-3) "REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities-- Application to Transition-based Connectionist Speech Recognition" by Bourlard, H., Konig, Y., Morgan, N.
1040: (-9,54) "Recurrent Neural Networks for Missing or Asynchronous Data" by Bengio, Y., Gingras, F.
1041: (19,-15) "Family Discovery" by Omohundro, S.
1042: (6,-12) "Discriminant Adaptive Nearest Neighbor Classification and Regression" by Hastie, T., Tibshirani, R.
1043: (5,-22) "Clustering Data through an Analogy to the Potts Model" by Blatt, M., Domany, E., Wiseman, S.
1044: (22,6) "Generalized Learning Vector Quantization" by Sato, A., Yamada, K.
1045: (18,-9) "Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms" by Juels, A., Wattenberg, M.
1046: (2,-11) "Symplectic Nonlinear Component Analysis" by Parra, L.
1047: (16,-7) "A Unified Learning Scheme: Bayesian-Kuilback Ying-Yang Machine" by Xu, L.
1048: (0,16) "Universal Approximation and Learning of Trajectories Using Oscillators" by Baldi, P., Homik, K.
1049: (-5,28) "A Smoothing Regularizer for Recurrent Neural Networks" by Moody, J., Wu, L.
1050: (18,-28) "EM Optimization of Latent-Variable Density Models" by Bishop, C., Svensen, M., Williams, C.
1051: (29,-19) "Factorial Hidden Markov Models" by Ghahramani, Z., Jordan, M.
1052: (15,14) "Boosting Decision Trees" by Cones, C., Drucker, H.
1053: (4,-4) "Exploiting Tractable Substructures in Intractable Networks" by Jordan, M., Saul, L.
1054: (-6,25) "Hierarchical Recurrent Neural Networks for Long-term Dependencies" by Bengio, Y., Hihi, S.
1055: (12,-16) "Discovering Structure in Continuous Variables Using Bayesian Networks" by Hofmann, R., Tresp, V.
1056: (10,-7) "Using Pairs of Data Points to Define Splits for Decision Trees" by Hinton, G., Revow, M.
1057: (10,-1) "Gaussian Processes for Regression" by Williams, C.
1058: (11,25) "Pruning with Generalization Based Weight Saliencies: gamma-OBD, gamma-OBS" by Hansen, L., Larsen, J., Pealersen, M.
1059: (2,14) "Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks" by Jaakkola, T., Jordan, M., Saul, L.
1060: (-1,54) "Generating Accurate and Diverse Members of a Neural-network Ensemble" by Opitz, D., Shavlik, J.
1061: (12,-10) "Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging" by Ormoneit, D., Tresp, V.
1062: (-5,9) "Explorations with the Dynamic Wave Model" by Elman, J., Rebotier, T.
1063: (-3,-2) "The Capacity of a Bump" by Flake, G.
1064: (25,18) "Tempering Backpropagation Networks: Not All Weights Are Created Equal" by Schraudolph, N., Sejnowski, T.
1065: (23,9) "Investment Learning with Hierarchical PSOMs" by Ritter, H., Walter, J.
1066: (-9,31) "Learning Long-term Dependencies Is Not as Difficult with NARX Networks" by Giles, C., Home, B., Lin, T., Tino, P.
1067: (5,-5) "Constructive Algorithms for Hierarchical Mixtures of Experts" by Robinson, A., Waterhouse, S.
1068: (14,3) "An Information-theoretic Learning Algorithm for Neural Network Classification" by Gersho, A., Miller, O., Rao, A., Rose, K.
1069: (7,24) "A Practical Monte Carlo Implementation of Bayesian Learning" by Rasmussen, C.
1070: (24,5) "From Isolation to Cooperation: An Alternative View of a System of Experts" by Atkeson, C., Schaal, S.
1071: (-20,27) "Finite State Automata that Recurrent Cascade-Correlation Cannot Represent" by Kremer, S.
1072: (-6,9) "SPERT-II: A Vector Microprocessor System and Its Application to Large Problems in Backpropagation Training" by Asanovic, K., Beck, J., Johnson, D., Kingsbury, B., Morgan, N., Wawrzynek, J.
1073: (2,-5) "Softassign versus Softmax: Benchmarks in Combinatorial Optimization" by Gold, S., Rangarajan, A.
1074: (-3,-7) "A Multiscale Attentionai Framework for Relaxation Neural Networks" by Mjolsness, E., Tsioutsias, O.
1075: (54,34) "Is Learning the n-th Thing Any Easier Than Learning the First?" by Thrun, S.
1076: (14,16) "Using Unlabeled Data for Supervised Learning" by Towell, G.
1077: (32,7) "Learning Sparse Percepttons" by Craven, M., Jackson, J.
1078: (15,-11) "Does the Wake-sleep Algorithm Produce Good Density Estimators?" by Dayan, P., Frey, B., Hinton, G.
1079: (-15,-14) "Improved Silicon Cochlea Using Compatible Lateral Bipolar Transistors" by Fragniere, E., Vittoz, E., vanSchaik, A.
1080: (-21,-18) "Adaptive Retina with Center-Surround Receptive Field" by Boahen, K., Liu, S.
1081: (-17,-6) "Neuron-MOS Temporal Winner Search Hardware for Fully-parallel Data Processing" by Kaihara, R., Morimoto, T., Nakai, T., Ohmi, T., Shibata, T., Yamashita, T.
1082: (-13,-11) "Analog VLSI Processor Implementing the Continuous Wavelet Transform" by Cauwenberghs, G., Edwards, R.
1083: (-14,-8) "Silicon Models for Auditory Scene Analysis" by Lazzaro, J., Wawrzynek, J.
1084: (-22,-26) "VLSI Model of Primate Visual Smooth Pursuit" by Etienne-Cummings, R., VanderSpiegel, J.
1085: (6,-32) "Model Matching and SFMD Computation" by Hammerstrom, D., Rehfuss, S.
1086: (-15,-16) "Parallel Analog VLSI Architectures for Computation of Heading Direction and Time-to-contact" by Indiveri, G., Koch, C., Kramer, J.
1087: (-20,-5) "Onset-based Sound Segmentation" by Smith, L.
1088: (-11,16) "Laterally Interconnected Self-organizing Maps in Handwritten Digit Recognition" by Cboe, Y., Miikkulainen, R., Sirosh, J.
1089: (-16,39) "Forward-backward Retraining of Recurrent Neural Networks" by Robinson, A., Senior, A.
1090: (-5,10) "Context-dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System" by Hochberg, M., Kershaw, D., Robinson, A.
1091: (19,-7) "A New Learning Algorithm for Blind Signal Separation" by Amari, S., Cichocki, A., Yang, H.
1092: (-4,3) "Handwritten Word Recognition Using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models" by Gilloux, M., Lemarie, B., Leroux, M.
1093: (-9,-2) "Selective Attention for Handwritten Digit Recognition" by Alpaydin, E.
1094: (-10,4) "KODAK IMAGELINK OCR Alphanumeric Handprint Modul" by Shustorovich, A., Thrasher, C.
1095: (-6,8) "The Gamma MLP for Speech Phoneme Recognition" by Back, A., Lawrence, S., Tsoi, A.
1096: (4,-18) "A Framework for Nonrigid Matching and Correspondence" by Gold, S., Pappu, S., Rangarajan, A.
1097: (-20,-16) "Control of Selective Visual Attention: Modeling the "Where" Pathway" by Koch, C., Niebur, E.
1098: (-22,0) "Unsupervised Pixel-prediction" by Softky, W.
1099: (-44,6) "Learning to Predict Visibility and Invisibility from Occlusion Events" by Alley, R., Hubbard, R., Marshall, J.
1100: (-7,-7) "Classifying Facial Action" by Bartlett, M., Ekman, P., Hager, J., Larsen, J., Sejnowski, T., Viola, P.
1101: (-10,-31) "Modeling Saccadic Targeting in Visual Search" by Ballard, D., Hayhoe, M., Rao, R., Zelinsky, G.
1102: (-25,-26) "A Model of Transparent Motion and Non-transparent Motion Aftereffects" by Grunewald, A.
1103: (-16,-14) "A Neural Network Model of 3-D Lightness Perception" by Pessoa, L., Ross, W.
1104: (5,-17) "Empirical Entropy Manipulation for Real-world Problems" by Schraudolph, N., Sejnowski, T., Viola, P.
1105: (31,-9) "Active Gesture Recognition Using Learned Visual Attention" by Darrell, T., Pentland, A.
1106: (-7,-10) "SEEMORE: A View-based Approach to 3-D Object Recognition Using Multiple Visual Cues" by Mel, B.
1107: (-10,26) "Human Face Detection in Visual Scenes" by Baluja, S., Kanade, T., Rowley, H.
1108: (9,25) "Improving Committee Diagnosis with Resampling Techniques" by Doyle, H., Munro, P., Parmanto, B.
1109: (-3,22) "Primitive Manipulation Learning with Connectionism" by Matsuoka, Y.
1110: (28,4) "Beating a Defender in Robotic Soccer: Memory-based Learning of a Continuous Function" by Stone, P., Veloso, M.
1111: (-7,10) "Visual Gesture-based Robot Guidance with a Modular Neural System" by Drees, A., Littmann, E., Ritter, H.
1112: (-8,-1) "A Novel Channel Selection System in Cochlear Implants Using Artificial Neural Network" by Jabri, M., Wang, R.
1113: (-5,12) "Prediction of Beta Sheets in Proteins" by Krogh, A., Riis, S.
1114: (-10,3) "A Neural Network Autoassociator for Induction Motor Failure Prediction" by Darken, C., Hanson, S., Kuhn, G., Marcantonio, A., Petsehe, T., Santoso, I.
1115: (-3,0) "Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence" by Jung, T., Makeig, S., Sejnowski, T.
1116: (-6,8) "A Neural Network Classifier for the I1000 OCR Chip" by Allen, T., Platt, J.
1117: (5,10) "Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control" by Choi, S., Yeung, D.
1118: (28,-7) "Optimal Asset Allocation Using Adaptive Dynamic Programming" by Neuneier, R.
1119: (23,18) "Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation" by Baluja, S., Caruana, R., Mitchell, T.
1120: (1,-17) "Stock Selection via Nonlinear Multi-factor Models" by Levin, A.
1121: (-15,29) "Experiments with Neural Networks for Real Time Implementation of Control" by Campbell, P., Dale, M., Ferra, H., Kowalczyk, A.
1122: (-7,4) "High-speed Airborne Particle Monitoring Using Artificial Neural Networks" by Bolouri, H., Dixon, L., Ferguson, A., Kaye, P., Sabisch., T.
1123: (0,1) "A Dynamical Systems Approach for a Learnable Autonomous Robot" by Fukumura, N., Tani, J.
1124: (15,-9) "Parallel Optimization of Motion Controllers via Policy Iteration" by Coelho, J., Grupen, R., Sitaramen, R.
1125: (15,-16) "Learning Fine Motion by Markov Mixtures of Experts" by Jordan, M., Meila, M.
1126: (-8,15) "Neural Control for Nonlinear Dynamic Systems" by Annaswamy, A., Yu, S.
1127: (17,-1) "Improving Elevator Performance Using Reinforcement Learning" by Barto, A., Crites, R.
1128: (-2,24) "High-performance Job-Shop Scheduling with a Time-delay TD(LAMBDA) Network" by Dietterich, T., Zhang, W.
1129: (-18,8) "Competence Acquisition in an Autonomous Mobile Robot Using Hardware Neural Techniques" by Jackson, G., Murray, A.
1130: (44,-3) "Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding" by Sutton, R.
1131: (28,-10) "Stable Linear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions" by Roy, B., Tsitsiklis, J.
1132: (41,-3) "Stable Fitted Reinforcement Learning" by Gordon, G.
1133: (34,-10) "Improving Policies without Measuring Merits" by Dayan, P., Singh, S.
1134: (17,-16) "Memory-based Stochastic Optimization" by Moore, A., Schneider, J.
1135: (28,-3) "Temporal Difference in Learning in Continuous Time and Space" by Doya, K.
1136: (21,5) "Reinforcement Learning by Probability Matching" by Jordan, M., Sabes, P.
1137: (19,4) "Text-Based Information Retrieval Using Exponentiated Gradient Descent," by Barto, A., Callan, J., Papka, R.
1138: (18,7) "Why did TD-Gammon Work?" by Blair, A., Pollack, J.
1139: (-15,-17) "Neural Models for Pain- Whole Hierarchies," by Dayan, P., Riesenhuber, M.
1140: (-12,-14) "Temporal Low-Order Statistics of Natural Sounds" by Attias, H., Schreiner, C.
1141: (-27,-32) "Reconstructing Stimulus Velocity from Neuronal Responses in Area MT," by Bair, W., Cavanaugh, J., Movshon, J.
1142: (-10,-24) "3D Object Recognition: A Model of View-Tuned Neurons" by Bricolo, E., Logothetis, N., Poggio, T.
1143: (-20,-26) "A Hierarchical Model of Visual Rivalry" by Dayan, P.
1144: (-18,-9) "Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans" by Ferree, T., Lockery, S., Marcotte, B.
1145: (-24,-27) "Extraction of Temporal Features in the Electrosensory System of Weakly Electric Fish" by Gabbiani, F., Koch, C., Metznet, W., Wessel, R.
1146: (-35,-22) "A Neural Model of Visual Contour Integration" by Li, Z.
1147: (3,-17) "Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings" by Deco, G., Laskey, K., Martignon, L., Vaadia, E.
1148: (-35,-30) "Complex- Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation" by Archie, K., Mel, B., Ruderman, D.
1149: (-28,-26) "Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex" by Fanst, U., Geisel, T., Pawelzik, K., Wolf, F.
1150: (-20,9) "Statistically Efficient Estimations Using Comical Lateral Connections" by Pouget, A., Zhang, K.
1151: (-26,-28) "An Architectural Mechanism for Direction-tuned Comical Simple Cells: The Role of Mutual Inhibition" by Bisio, G., Sabatini, S., Solari, F.
1152: (-26,-21) "Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input" by Bartels, A., Sejnowski, T., Tang, A.
1153: (-32,-35) "A Model of Recurrent Interactions in Primary Visual Cortex" by Siapas, A., Somers, D., Todorov, E.
1154: (24,8) "Neural Learning in Structured Parameter Spaces m Natural Riemannian Gradient" by Amari, S.
1155: (8,17) "For Valid Generalization, the Size of the Weights is More Important than the Size of the Networ" by Bartlett, P.
1156: (16,12) "Dynamics of Training" by Bos, S., Opper, M.
1157: (-7,19) "Multilayer Neural Networks: One or Two Hidden Layers?" by Brightwell, G., Kenyon, C., Paugam-Moisy, H.
1158: (12,0) "Support Vector Regression Machines" by Burges, C., Dmcker, H., Kaufman, L., Smola, A., Vapnik, V.
1159: (2,34) "Size of Multilayer Networks for Exact Learning: Analytic Approach" by Elisseeff, A., Paugam-Moisy, H.
1160: (21,3) "The Effect of Correlated Input Data on the Dynamics of Learning," by Halkjaer, S., Winther, O.
1161: (7,12) "Practical Confidence and Prediction Intervals" by Heskes, T.
1162: (0,7) "Statisticai Mechanics of the Mixture of Experts" by Kang, K., Oh, J.
1163: (21,9) "MLP Can Provably Generalize Much Better than VC-bounds Indicate," by Ferni, H., Kowalczyk, A.
1164: (11,7) "Radial Basis Function Networks and Complexity Regularization in Function Learning" by Krzyzak, A., Linder, T.
1165: (34,-16) "An Apobayesian Relative of Winnow" by Littlestone, N., Mesterharm, C.
1166: (-28,1) "Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons," by Maass, W.
1167: (-19,10) "On the Effect of Analog Noise in Discrete-Time Analog Computations," by Maass, W., Orponen, P.
1168: (9,0) "A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks" by Opper, M., Winther, O.
1169: (16,6) "Removing Noise in On-Line Search using Adaptive Batch Sizes" by Orr, G.
1170: (-7,10) "Are Hopfield Networks Faster than Conventional Computers ?," by Parberry, I., Tseng, H.
1171: (8,5) "Hebb Learning of Features based on their Information Content," by Noda, H., Peper, F.
1172: (7,-5) "The Generalisation Cost of RAMnets" by Morciniec, M., Rohwer, R.
1173: (19,22) "Learning with Noise and Regularizers in Multilayer Neural Networks," by Saad, D., Solla, S.
1174: (11,-26) "A Variational Principle for Model-based Morphing" by Jordan, M., Saul, L.
1175: (38,28) "Online Learning from Finite Training Sets: An Analytical Case Study" by Barber, D., Sollich, P.
1176: (9,-9) "Support Vector Method for Function Approximation,  Regression Estimation, and Signal Processing," by Golowich, S., Smola, A., Vapnik, V.
1177: (21,27) "The Learning Dynamcis of a Universal Approximator" by Nabney, I., Saad, D., West, A.
1178: (4,14) "Computing with Infinite Networks" by Williams, C.
1179: (8,8) "Microscopic Equations in Rough Energy Landscape for Neural Networks," by Wong, K.
1180: (10,-15) "Time Series Prediction using Mixtures of Experts" by Adler, R., Meir, R., Zeevi, A.
1181: (17,-8) "Genetic Algorithms and Explicit Search Statistics" by Baluja, S.
1182: (8,-10) "Consistent Classification" by Baram, Y.
1183: (10,-15) "Bayesian Model Comparison by Monte Carlo Chaining" by Barber, D., Bishop, C.
1184: (7,4) "Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo" by Barber, D., Williams, C.
1185: (9,-13) "Regression with Input-Dependent Noise: A Bayesian Treatment" by Bishop, C., Qazaz, C.
1186: (21,-28) "GTM: A Principled Alternative to the Self- Organizing Map" by Bishop, C., Svensen, M., Williams, C.
1187: (9,-14) "The CONDENSATION Algorithm-- Conditional Density Propagation and Applications to Visual Tracking" by Blake, A., Isard, M.
1188: (20,-9) "Clustering via Concave Minimization" by Bradley, P., Mangasarian, O., Street, W.
1189: (14,2) "Improving the Accuracy and Speed of Support Vector Machines" by Burges, C., Scholkopf, B.
1190: (-4,13) "Estimating Equivalent Kernels for Neural Networks: A Data Perturbation Approach" by Burgess, A.
1191: (1,20) "Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs" by Caruana, R., de-Sa, V.
1192: (2,2) "Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition" by Chatterjee, C., Roychowdhury, V.
1193: (-6,30) "Representation and Induction of Finite State Machines using Time-Delay Neural Networks," by Clouse, D., Cottrell, G., Giles, C., Horne, B.
1194: (4,2) ""488" Solutions to the XOR Problem" by Coetzee, F., Stonick, V.
1195: (19,4) "Minimizing Statistical Bias with Queries," by Cohn, D.
1196: (16,-12) "MIMIC: Finding Optima by Estimating Probability Densities" by Isbell, C., Viola, P., de-Bonet, J.
1197: (8,-20) "On a Modification to the Mean Field EM Algorithm in Factorial Learning" by Dunmur, A., Titterington, D.
1198: (7,-17) "Softening Discrete Relaxation" by Finch, A., Hancock, E., Wilson, R.
1199: (11,-8) "Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling" by Flexer, A.
1200: (6,15) "Continuous Sigmoidal Belief Networks Trained using Slice Sampling" by Frey, B.
1201: (5,0) "Adaptively Growing Hierarchical Mixtures of Experts" by Finke, M., Fritsch, J., Waibel, A.
1202: (10,26) "Balancing Between Bagging and Bumping" by Heskes, T.
1203: (3,30) "LSTM can Solve Hard Long Time Lag Problems" by Hochreiter, S., Schmidhuber, J.
1204: (29,0) "One-unit Learning Rules for Independent Component Analysis" by Hyvarinen, A., Oja, E.
1205: (5,-4) "Recursive Algorithms for Approximating Probabilities in Graphical Models" by Jaakkola, T., Jordan, M.
1206: (11,11) "Combinations of Weak Classifiers" by Ji, C., Ma, S.
1207: (12,-14) "Hidden Markov Decision Trees" by Ghahramani, Z., Jordan, M., Saul, L.
1208: (-7,20) "Unification of lnformation Maximization and Minimization" by Kamimura, R.
1209: (9,0) "Unsupervised Learning by Convex and Conic Coding" by Lee, D., Seung, H.
1210: (6,14) "ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers," by Hornik, K., Leiseh, F.
1211: (-1,11) "Bayesian Unsupervised Learning of Higher Order Structure" by Lewicki, M., Sejnowski, T.
1212: (-2,-8) "Source Separation and Density Estimation by Faithful Equivariant SOM" by Cowan, J., Grier, D., Lin, J.
1213: (2,6) "NeuroScale: Novel Topographic Feature Extraction using RBF Networks" by Lowe, D., Tipping, M.
1214: (9,-8) "Ordered Classes and Incomplete Examples in Classification" by Mathieson, M.
1215: (11,-10) "Triangulation by Continuous Embedding," by Jordan, M., Meila, M.
1216: (8,-2) "Combining Neural Network Regression Estimates with Regularized Linear" by Merz, C., Pazzani, M.
1217: (16,-17) "A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data" by Miller, D., Uyar, H.
1218: (15,24) "Learning Bayesian Belief Networks with Neural Network Estimators" by Cooper, G., Monti, S.
1219: (3,7) "Smoothing Regularizers for Projectire Basis Function Networks" by Moody, J., Rognvaldsson, T.
1220: (2,31) "Competition Among Networks Improves Committee Performance" by Munro, P., Parmanto, B.
1221: (31,5) "Adaptive On-line Learning in Changing Environments" by Amari, S., Milllet, K., Mumta, N., Ziehe, A.
1222: (27,10) "Using Curvature Information for Fast Stochastic Search" by Leen, T., Orr, G.
1223: (7,-25) "Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA" by Parra, L., Pearlmutter, B.
1224: (7,-11) "A Convergence Proof for the Softassign Quadratic Assignment Algorithm" by Gold, S., Mjolsness, E., Rangarajan, A., Yuille, A.
1225: (27,17) "Second-order Learning Algorithm with Squared Penalty Term" by Nakano, R., Saito, K.
1226: (11,10) "Monotonicity Hints" by Abu-Mostafa, Y., Sill, J.
1227: (33,-23) "Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions" by Singer, Y., Warmuth, M.
1228: (19,-31) "Clustering Sequences with Hidden Markov Models" by Smyth, P.
1229: (-5,28) "Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm" by Riedmiller, M., Stahlberger, A.
1230: (10,-25) "Separating Style and Content" by Freeman, W., Tenenbaum, J.
1231: (9,5) "Early Brain Damage," by Neuneier, R., Tresp, V., Zimmermann, H.
1232: (-6,-26) "Probabilistic Interpretation of Population Codes" by Dayan, P., Pouget, A., Zemel, R.
1233: (-21,-11) "VLSI Implementation of Cortical Visual Motion Detection Using an Analog Neural Computer" by Apsel, A., Etienne-Cummings, R., Mueller, P., Takahashi, N., VanderSpiegel, J.
1234: (-18,-5) "A Spike Based Learning Neuron in Analog VLSI" by Hiffiiger, P., Mahowald, M., Watts, L.
1235: (-14,-9) "An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration" by Chiang, Y., Harris, J.
1236: (-20,-19) "Analog VLSI Circuits for Attention-Based, Visual Tracking," by DeWeerth, S., Horiuchi, T., Koch, C., Morris, T.
1237: (-19,-1) "Dynamically Adaptable CMOS Winner-Take-All Neural Network," by Iizuka, K., Matsui, H., Miyamoto, M.
1238: (-26,-4) "An Adaptive WTA using Floating Gate Technology" by Hasler, P., Koch, C., Kruger, W., Minch, B.
1239: (-14,-3) "A Micropower Analog VLSI HMM State Decoder for Wordspotting" by Lazzaro, J., Lippmann, R., Wawrzynek, J.
1240: (-10,-3) "Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing," by Cauwenberghs, G., Edwards, R., Pineda, F.
1241: (-25,-24) "A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem," by Fragniere, E., Vittoz, E., van-Schaik, A.
1242: (-10,-11) "Dynamic Features for Visual Speechreading: A Systematic Comparison" by Gray, M., Movellan, J., Sejnowski, T.
1243: (1,-6) "Blind Separation of Delayed and Convolved Sources" by Bell, A., Lambert, R., Lee, T.
1244: (-11,27) "A Constructive RBF Network for Writer Adaptation" by Matic, N., Platt, J.
1245: (-22,27) "A New Approach to Hybrid HMM/ANN Speech Recognition using Mutual Information Neural Networks" by Neukirchen, C., Rigoll, G.
1246: (-14,16) "Neural Network Modeling of Speech and Music Signals" by Robel, A.
1247: (13,-6) "A Constructive Learning Algorithm for Discriminant Tangent Models" by Sona, D., Sperduti, A., Starita, A.
1248: (9,-11) "Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation," by Nelson, A., Wan, E.
1249: (0,25) "Ensemble Methods for Phoneme Classification" by Cook, G., Waterhouse, S.
1250: (4,21) "Effective Training of a Neural Network Character Classifier for Word" by Lyon, R., Webb, B., Yaeger, L.
1251: (-9,2) "Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks" by Bartlett, M., Sejnowski, T.
1252: (-6,18) "Learning Temporally Persistent Hierarchical Representations" by Becker, S.
1253: (0,-14) "Edges are the "Independent Components" of Natural Scenes," by Bell, A., Sejnowski, T.
1254: (-2,-16) "Compositionality, MDL Priors, and Object Recognition," by Bienenstock, E., Geman, S., Potter, D.
1255: (2,-11) "Learning Appearance Based Models: Mixtures of Second Moment Experts" by Bregler, C., Malik, J.
1256: (-21,-15) "Spatial Decorrelation in Orientation Tuned Cortical Cells" by Cowan, J., Dimitrov, A.
1257: (-15,-22) "Spatiotemporal Coupling and Scaling of Natural Images and Human Visual Sensitivities" by Dong, D.
1258: (-14,-24) "Selective Integration: A Model for Disparity Estimation" by Gray, M., Nowlan, S., Pouget, A., Sejnowski, T., Zemel, R.
1259: (-5,1) "ARTEX: A Self-organizing Architecture for Classifying Image Regions," by Grossberg, S., Williamson, J.
1260: (7,-25) "Contour Organisation with the EM Algorithm" by Hancock, E., Leite, J.
1261: (-27,-32) "Visual Cortex Circuitry and Orientation Tuning" by Cowan, J., Dimitrov, A., Mundel, T.
1262: (-4,5) "Representing Face Images for Emotion Classification" by Cottrell, G., Padgett, C.
1263: (-31,-20) "Rapid Visual Processing using Spike Asynchrony" by Gautrals, J., Thorpe, S.
1264: (3,-10) "Interpreting Images by Propagating Bayesian Beliefs" by Weiss, Y.
1265: (-20,-22) "Salient Contour Extraction by Temporal Binding in a Cortically-based Network" by Finkel, L., Yen, S.
1266: (-10,4) "An Orientation Selective Neural Network for Pattern Identification in Particle Detectors" by Abramowicz, H., Horn, D., Naftaly, U., Sahar-Pikielny, C.
1267: (8,-3) "Adaptive Access Control Applied to Ethernet Data" by Brown, T.
1268: (8,-1) "Predicting Lifetimes in Dynamically Allocated Memory," by Cohn, D., Singh, S.
1269: (8,16) "Multi-Task Learning for Stock Selection" by Bengio, Y., Ghosn, J.
1270: (-1,0) "The Neurothermostat: Predictive Optimal Control of Residential Heating" by Dodier, R., Mozer, M., Vidmar, L.
1271: (4,-10) "Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches" by Niranjan, M.
1272: (1,11) "A Comparison between Neural Networks and other Statistical Techniques for Modeling the Relationship between Tobacco and Alcohol and Cancer" by Band, P., Bert, J., Grace, J., Plate, T.
1273: (-1,-5) "Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems" by Bertsekas, D., Singh, S.
1274: (9,-1) "Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks" by Ghosh, J., Ramanujam, N., Richards-Kortum, R., Tumer, K.
1275: (2,18) "Interpolating Earth-science Data using RBF Networks and Mixtures of Experts" by Bone, D., Wan, E.
1276: (-2,-14) "Multi-effect Decompositions for Financial Data Modeling" by Moody, J., Wu, L.
1277: (39,-10) "Multidimensional Triangulation and Interpolation for Reinforcement Learning" by Davies, S.
1278: (27,-1) "Efficient Nonlinear Control with Actor-Tutor Architecture" by Doya, K.
1279: (47,-14) "Local Bandit Approximation for Optimal Learning Problems" by Barto, A., Duff, M.
1280: (56,-11) "Reinforcement Learning for Mixed Open-loop and Closed-loop Control" by Barto, A., Hansen, E., Zilberstein, S.
1281: (16,-10) "Multi-Grid Methods for Reinforcement Learning in Controlled Diffusion Processes" by Pareigis, S.
1282: (61,10) "Learning from Demonstration" by Schaal, S.
1283: (39,-21) "Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning" by Schneider, J.
1284: (35,-6) "Analytical Mean Squared Error Curves in Temporal Difference Learning" by Dayan, P., Singh, S.
1285: (24,-6) "Learning Decision Theoretic Utilities through Reinforcement Learning" by Sejnowski, T., Stensmo, M.
1286: (21,0) "On-line Policy Improvement using Monte-Carlo Search" by Galperin, G., Tesauro, G.
1287: (34,-6) "Analysis of Temporal-Diffference Learning with Function Approximation" by Tsitsiklis, J., van-Roy, B.
1288: (33,-8) "Approximate Solutions to Optimal Stopping Problems" by Tsitsiklis, J., van-Roy, B.
1289: (-28,-11) "Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis," by Baird, B.
1290: (-10,-4) "On Parallel versus Serial Processing: A Computational Study of Visual Search" by Cohen, E., Ruppin, E.
1291: (-13,9) "Task and Spatial Frequency Effects on Face Specialization" by Cottrell, G., Dailey, M.
1292: (-23,-19) "Neural Basis of Object-Centered Representations" by Deneve, S., Pouget, A.
1293: (-6,29) "A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick" by Hadden, L.
1294: (-7,-10) "Adaptation in Speech Motor Control" by Houde, J., Jordan, M.
1295: (4,-7) "Learning Human-like Knowledge by Singular Value Decomposition.' A Progress Report" by Foltz, P., Laham, D., Landauer, T.
1296: (-24,5) "Multi-modular Associative Memory" by Horn, D., Levy, N., Ruppin, E.
1297: (-5,-2) "Serial Order in Reading Aloud.' Connectionist Models and Neighborhood Structure," by Cottrell, G., Milostan, J.
1298: (-18,-8) "A Superadditive-Impairment Theory of Optic Aphasia" by Farah, M., Mozer, M., Sitton, M.
1299: (-10,-10) "A Hippocampal Model of Recognition Memory" by McClelland, J., Norman, K., O'Reilly, R.
1300: (-11,-6) "Correlates of Attention in a Model of Dynamic Visual Recognition" by Rao, R.
1301: (-13,15) "Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting" by Rodriguez, P., Wiles, J.
1302: (-6,4) "Comparison of Human and Machine Word Recognition" by Jabd, M., Latimer, C., Schenkel, M.
1303: (-16,-19) "Coding of Naturalistic Stimuli by Auditory Midbrain Neurons" by Attias, H., Schreiner, C.
1304: (-24,-24) "Refractoriness and Neural Precision" by Berry, M., Meister, M.
1305: (17,-13) "Statistical Models of Conditioning," by Dayan, P., Long, T.
1306: (-38,-29) "Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate Using Reverse Correlation" by Merzenich, M., deCharms, R.
1307: (-9,-2) "Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings," by Merzenich, M., de-Sa, V., deCharms, R.
1308: (-17,-30) "Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus" by Anastasio, T., Dow, F.
1309: (28,-3) "Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning" by Dayan, P., Foster, D., Morris, R.
1310: (-6,-16) "Gradients for Retinotectal Mapping" by Goodhill, G.
1311: (-7,-17) "A Mathematical Model of Axon Guidance by Diffusible Factors" by Goodhill, G.
1312: (-23,0) "Computing with Action Potentials (Invited Talk)" by Brody, C., Hopfield, J., Roweis, S.
1313: (-12,-39) "A Model of Early Visual Processing" by Braun, J., Itti, L., Koch, C., Lee, D.
1314: (-12,-16) "Perturbative M-Sequences for Auditory Systems Identification" by Kvale, M., Schreiner, C.
1315: (-35,-27) "Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex" by Lumer, E.
1316: (-24,-10) "Dynamic Stochastic Synapses as Computational Units" by Maass, W., Zador, A.
1317: (-16,-16) "Synaptic Transmission: An Information-Theoretic Perspective" by Koch, C., Manwani, A.
1318: (-35,-35) "Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites�" by Archie, K., Mel, B., Ruderman, D.
1319: (-24,-22) "Just One View: Invariances in Inferotemporal Cell Tuning" by Poggio, T., Riesenhuber, M.
1320: (-4,-32) "On the Separation of Signals from Neighboring Cells in Tetrode Recordings�" by Andersen, R., Pezaris, J., Sahani, M.
1321: (0,-16) "Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings" by Hamalainen, M., Hari, R., Jousmaki, V., Oja, E., Vigario, R.
1322: (-17,-38) "Modeling Complex Cells in an Awake Macaque during Natural Image Viewing," by Gallant, J., Vinje, W.
1323: (15,5) "The Canonical Distortion Measure in Feature Space and 1-NN Classification" by Bartlett, P., Baxter, J.
1324: (-5,-3) "Multiple Threshold Neural Logic" by Bohossian, V., Bruck, J.
1325: (13,-1) "Generalization in Decision Trees and DNF: Does Size Matter?" by Bartlett, P., Golea, M., Lee, W., Mason, L.
1326: (6,-8) "Selecting Weighting Factors in Logarithmic Opinion Pools" by Heskes, T.
1327: (8,-14) "New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit" by Hyvarinen, A.
1328: (15,-2) "Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction" by Kappen, H., Rodriguez, F.
1329: (25,0) "Relative Loss Bounds for Multidimensional Regression Problems" by Kivinen, J., Warmuth, M.
1330: (3,-3) "Asymptotic Theory for Regularization: One-Dimensional Linear Case" by Koistinen, P.
1331: (13,6) "Two Approaches to Optimal Annealing" by Leen, T., Saad, D., Schottky, B.
1332: (13,-6) "Structural Risk Minimization for Nonparametric Time Series Prediction," by Meir, R.
1333: (-8,6) "Analytical Study of the Interplay between Architecture and Predictability" by Kanter, I., Kessler, D., Priel, A.
1334: (27,18) "Globally Optimal On-line Learning Rules" by Rattray, M., Saad, D.
1335: (-10,3) "Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks" by Hopfield, J., Lagarias, J., Richardson, T., Seung, H.
1336: (15,-2) "Data-Dependent Structural Risk Minimization for Perceptron Decision Trees," by Cristianini, N., Shawe-Taylor, J.
1337: (9,-7) "From Regularization Operators to Support Vector Kernels" by Scholkopf, B., Smola, A.
1338: (9,-13) "The Rectified Gaussian Distribution" by Lee, D., Seung, H., Socci, N.
1339: (19,23) "On-line Learning from Finite Training Sets in Nonlinear Networks," by Barber, D., Sollich, P.
1340: (17,-8) "Competitive On-line Linear Regression" by Vovk, V.
1341: (8,10) "On the Infeasibility of Training Neural Networks with Small Squared Errors" by Vu, V.
1342: (-3,1) "The Storage Capacity of a Fully-Connected Committee Machine" by Kwon, C., Oh, J., Xiong, Y.
1343: (20,1) "The Efficiency and the Robustness of Natural Gradient Descent Learning Rule" by Amari, S., Yang, H.
1344: (9,1) "Ensemble Learning for Multi-Layer Networks" by Barber, D., Bishop, C.
1345: (11,-2) "Radial Basis Functions: A Bayesian Treatment" by Barber, D., Schottky, B.
1346: (5,-7) "Shared Context Probabilistic Transducers" by Bengio, S., Bengio, Y., Isabelle, J., Singer, Y.
1347: (8,-7) "Approximating Posterior Distributions in Belief Networks Using Mixtures" by Bishop, C., Jaakkola, T., Jordan, M., Lawrence, N.
1348: (3,-6) "Receptive Field Formation in Natural Scene Environments: Comparison of  Single Cell Learning Rules," by Blais, B., Cooper, L., Intrator, N., Shouval, H.
1349: (8,-14) "An Annealed Self-Organizing Map for Source Channel Coding" by Burger, M., Graepel, T., Obermayer, K.
1350: (16,10) "Incorporating Test Inputs into Learning" by Cataltepe, Z., Magdon-Ismail, M.
1351: (22,-3) "On Efficient Heuristic Ranking of Hypotheses" by Cttien, S., Mutz, D., Stechert, A.
1352: (33,0) "Learning to Order Things" by Cohen, W., Schapire, R., Singer, Y.
1353: (17,-4) "Regularisation in Sequential Learning Algorithms" by Gee, A., Niranjan, M., de-Freitas, J.
1354: (9,-18) "Agnostic Classification of Markovian Sequences," by El-Yaniv, R., Fine, S., Tishby, N.
1355: (1,0) "Ensemble and Modular Approaches for Face Detection: A Comparison" by Bernier, O., Feraud, R.
1356: (-1,-2) "A Revolution: Belief Propagation in Graphs with Cycles" by Frey, B., MacKay, D.
1357: (0,18) "Hierarchical Non-linear Factor Analysis and Topographic Maps" by Ghahramani, Z., Hinton, G.
1358: (8,-14) "Regression with Input-dependent Noise: A Gaussian Process Treatment" by Bishop, C., Goldberg, P., Williams, C.
1359: (24,-34) "Linear Concepts and Hidden Variables: An Empirical Study" by Grove, A., Roth, D.
1360: (8,-13) "Classification by Pairwise Coupling" by Hastie, T., Tibshitani, R.
1361: (21,-16) "Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis" by Buhmann, J., Held, M.
1362: (13,-11) "Nonlinear Markov Networks for Continuous Variables," by Hofmann, R., Tresp, V.
1363: (17,-28) "Active Data Clustering" by Buhmann, J., Hofmann, T.
1364: (17,-7) "Function Approximation with the Sweeping Hinge Algorithm" by Horne, B., Hush, D., Lozano, F.
1365: (12,-5) "The Error Coding and Substitution PaCTs" by Hastie, T., James, G.
1366: (10,-7) "S-Map: A Network with a Simple Self-Organization Algorithm for Generarive Topographic Mappings" by Kiviluoto, K., Oja, E.
1367: (9,-14) "Learning Nonlinear Overcomplete Representations for Efficient Coding" by Lewicki, M., Sejnowski, T.
1368: (3,-11) "Factorizing Multivariate Function Classes" by Lin, J.
1369: (16,-8) "A Framework for Multiple-Instance Learning" by Lozano-Perez, T., Maron, O.
1370: (7,-29) "An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures" by Marts, A.
1371: (17,-25) "Estimating Dependency Structure as a Hidden Variable" by Jordan, M., Meila, M.
1372: (21,-8) "Combining Classifiers Using Correspondence Analysis" by Metz, C.
1373: (0,2) "Learning Path Distributions Using Nonequilibrium Diffusion Networks," by Mineiro, P., Movellan, J., Williams, R.
1374: (3,13) "Learning Generarive Models with the Up-Propagation Algorithm," by Oh, J., Seung, H.
1375: (20,1) "An Incremental Nearest Neighbor Algorithm with Queries" by Ratsaby, J.
1376: (-15,27) "RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions," by Ring, M.
1377: (27,-36) "EM Algorithms for PCA and SPCA" by Roweis, S.
1378: (15,-15) "Local Dimensionality Reduction" by Atkeson, C., Schaal, S., Vijayahunar, S.
1379: (10,-5) "Prior Knowledge in Support Vector Kernels" by Scholkopf, B., Simard, P., Smola, A., Vapnik, V.
1380: (19,30) "Training Methods for Adaptive Boosting of Neural Networks" by Bengio, Y., Schwenk, H.
1381: (-13,35) "Learning Continuous Attractors in Recurrent Networks" by Seung, H.
1382: (2,27) "Monotonic Networks," by Sill, J.
1383: (19,-39) "Stacked Density Estimation" by Smyth, P., Wolpert, D.
1384: (-6,-6) "Bidirectional Retrieval from Associative Memory," by Palm, G., Sommex, F.
1385: (9,-17) "Mapping a Manifold of Perceptual Observations" by Tenenbaum, J.
1386: (1,-17) "Graph Matching with Hierarchical Discrete Relaxation" by Hancock, E., Wilson, R.
1387: (14,-8) "Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring" by Yang, H.
1388: (-31,3) "A 1,000-Neuron System with One Million 7-bit Physical Interconnections," by Hirai, Y.
1389: (-19,-14) "Silicon Retina with Adaptive Filtering Properties" by Liu, S.
1390: (-31,-13) "Analog VLSI Model of lntersegmental Coordination with Nearest-Neighbor Coupling" by DeWeerth, S., Holleman, J., Patel, G.
1391: (-17,-10) "An Analog VLSI Neural Network for Phase-based Machine Vision" by Hui, K., Shi, B.
1392: (1,-3) "Analysis of Drifting Dynamics with Neural Network Hidden Markov Models" by Kohlmorgen, J., Muller, K., Pawelzik, K.
1393: (1,-12) "Bayesian Robustification for Audio Visual Fusion" by Mineiro, P., Movellan, J.
1394: (11,-21) "Modeling Acoustic Correlations by Factor Analysis" by Rahim, M., Saul, L.
1395: (-1,-15) "Blind Separation of Radio Signals in Fading Channels" by Torkkola, K.
1396: (-11,19) "Hybrid NN/I-IMM-Based Speech Recognition with a Discriminant Neural Feature Extraction" by Rigoll, G., Willett, D.
1397: (1,-22) "A Non-Parametric Multi-Scale Statistical Model for Natural Images" by Viola, P., de-Bonet, J.
1398: (12,-29) "Recovering Perspective Pose with a Dual Step EM Algorithm" by Cross, A., Hancock, E.
1399: (0,-23) "Bayesian Model of Surface Perception" by Freeman, W., Viola, P.
1400: (4,-20) "Features as Sufficient Statistics," by Geiger, D., Maloney, L., Rudra, A.
1401: (-29,-35) "Detection of First and Second Order Motion," by Grunewald, A., Neumann, H.
1402: (-8,-8) "A Simple and Fast Neural Network Approach to Stereovision" by Henkel, R.
1403: (13,-14) "Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework" by Lewicki, M., Olshausen, B.
1404: (-13,-21) "Visual Navigation in a Robot Using Zig-Zag Behavior" by Lewis, M.
1405: (-1,-20) "2D Observers for Human 3D Object Recognition?" by Kersten, D., Liu, Z.
1406: (-4,-20) "Self-similarity Properties of Natural Images" by Mato, G., Nadal, J., Parga, N., Turiel, A.
1407: (1,-10) "Multiresolution Tangent Distance for Affine-invariant Classification" by Lippman, A., Vasconcelos, N.
1408: (3,-21) "Phase Transitions and the Perceptual Organization of Video Sequences" by Weiss, Y.
1409: (-21,25) "Using Expectation to Guide Processing: A Study of Three Real-World Applications" by Baluja, S.
1410: (-4,-17) "Structure Driven Image Database Retrieval" by Viola, P., de-Bonet, J.
1411: (-16,-17) "A General Purpose Image Processing Chip: Orientation Detection" by Cai, D., Etienne-Cummings, R.
1412: (-24,-26) "An Analog VLSI Model of the Fly Elementary Motion Detector" by Harrison, R., Koch, C.
1413: (-4,8) "MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations" by Hornel, D.
1414: (1,-21) "Extended ICA Removes Artifacts from Electroencephalographic Recordings" by Humphties, C., Iragui, V., Jung, T., Lee, T., Makeig, S., McKeown, M., Sejnowski, T.
1415: (-10,2) "A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure," by Inbar, G., Lange, D., Pratt, H., Siegelmann, H.
1416: (-19,17) "A Neural Network Based Head Tracking System" by Lee, D., Seung, H.
1417: (0,-25) "Wavelet Models for Video Time-Series" by Ji, C., Ma, S.
1418: (17,1) "Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks," by Marbach, P., Mihatsch, O., Schulte, M., Tsitsiklis, J.
1419: (30,6) "Learning to Schedule Straight-Line Code" by Brodley, C., Cavazos, J., Moss, E., Precup, D., Scheeff, D., Stefanovic, D., Utgoff, P.
1420: (30,-8) "Enhancing Q-Learning for Optimal Asset Allocation," by Neuneier, R.
1421: (-16,20) "Intrusion Detection with Neural Networks" by Lin, M., Miikkulainen, R., Ryan, J.
1422: (-7,-14) "Incorporating Contextual Information in White Blood Cell Identification" by Abu-Mostafa, Y., Kasdan, H., Sill, J., Song, X.
1423: (1,2) "Bach in a Box--Real-Time Harmony" by Goodman, R., Hawkins, J., Spangler, R.
1424: (2,18) "Experiences with Bayesian Learning in a Real World Application" by Dorffner, G., Rappelsberger, P., Sykacek, P., Zeitlhofer, J.
1425: (-3,5) "A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction" by Briegel, T., Tresp, V.
1426: (1,5) "Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors" by Moteau, Y., Timmerman, D., Vandewalle, J., Verrelst, H.
1427: (2,-14) "Modelling Seasonality and Trends in Daily Rainfall Data" by Williams, P.
1428: (15,24) "The Observer-Observation Dilemma in Neuro-Forecasting," by Neuneier, R., Zimmermann, H.
1429: (42,-22) "Generalized Prioritized Sweeping" by Andre, D., Friedman, N., Parr, R.
1430: (33,-19) "Nonparametric Model-Based Reinforcement Learning," by Atkeson, C.
1431: (27,-20) "An Improved Policy Iteration Algorithm for Partially Observable MDPS," by Hansen, E.
1432: (32,-3) "Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments" by Barto, A., Monaco, J., Ward, D.
1433: (18,-11) "Reinforcement Learning for Continuous Stochastic Control Problems" by Bourgine, P., Munos, R.
1434: (29,-6) "Adaptive Choice of Grid and Time in Reinforcement Learning" by Pareigis, S.
1435: (37,-13) "Reinforcement Learning with Hierarchies of Machines," by Parr, R., Russell, S.
1436: (45,-20) "Multi-time Models for Temporally Abstract Planning" by Precup, D., Sutton, R.
1437: (48,-18) "How to Dynamically Merge Markov Decision Processes" by Cohn, D., Singh, S.
1438: (32,1) "The Asymptotic Convergence-Rate of Q-learning" by Szepesvfixi, C.
1439: (51,14) "Hybrid Reinforcement Learning and Its Application to Biped Robot Control" by Nakashima, M., Watanabe, A., Yamaria, S.
1440: (-1,-25) "Evidence for a Forward Dynamics Model in Human Adaptive Motor Control" by Bhushan, N., Shadmehr, R.
1441: (-17,2) "Perceiving without Learning.' From Spirals to Inside/Outside Relation" by Chen, K., Wang, D.
1442: (2,-14) "A Model for Associative Multiplicatio" by Becker, S., Christianson, G.
1443: (4,-24) "Facial Memory Is Kernel Density Estimation (Almost)" by Busey, T., Cottrell, G., Dailey, M.
1444: (13,-7) "Multiple Paired Forward-Inverse Models for Human Motor Learning and Contro" by Hamno, M., Kawato, M., Wolpert, D.
1445: (-15,-8) "Utilizing lime: Asynchronous Binding" by Love, B.
1446: (35,15) "Mechanisms of Generalization in Perceptual Learning" by Liu, Z., Weinshall, D.
1447: (-8,-1) "A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes" by Mozer, M.
1448: (30,1) "Bayesian Modeling of Human Concept Learning" by Tenenbaum, J.
1449: (-24,-11) "Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response" by Abbott, L., Song, S.
1450: (-28,-19) "Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability" by Adorjan, P., Obermayer, K.
1451: (-17,-12) "Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements?" by Baraduc, P., Burnod, Y., Guigon, E.
1452: (-50,-25) "Recurrent Cortical Amplification Produces Complex Cell Responses," by Abbott, L., Chance, F., Nelson, S.
1453: (-22,-2) "Neuronal Regulation Implements Efficient Synaptic Pruning," by Chechik, G., Meilijson, I., Ruppin, E.
1454: (-17,2) "Divisive Normalization, Line Attractor Networks and Ideal Observers," by Deneve, S., Latham, P., Pouget, A.
1455: (-16,-20) "Synergy and Redundancy among Brain Cells of Behaving Monkeys" by Gat, I., Tishby, N.
1456: (-16,-23) "Analyzing and Visualizing Single-Trial Event-Related Potentials" by Courchesne, E., Jung, T., Makeig, S., Sejnowski, T., Townsend, J., Westerfield, M.
1457: (-16,-2) "Spike-Based Compared to Rate-Based Hebbian Learning" by Gerstner, W., Kempter, R., vanHemmen, J.
1458: (-16,-14) "Signal Detection in Noisy Weakly-Active Dendrites" by Koch, C., Manwani, A.
1459: (-22,-14) "The Role of Lateral Cortical Competition in Ocular Dominance Development" by Obermayer, K., Piepenbrock, C.
1460: (-14,-18) "Multi-Electrode Spike Sorting by Clustering Transfer Functions," by Davidowitz, H., Rinberg, D., Tishby, N.
1461: (-15,-24) "Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model" by Schwartz, O., Simoncelli, E.
1462: (-26,-16) "Information Maximization in Single Neurons" by Koch, C., Stemmler, M.
1463: (-13,-14) "The Effect of Correlations on the Fisher Information of Population Codes" by Sompolinsky, H., Yoon, H.
1464: (-13,-31) "Distributional Population Codes and Multiple Motion Models" by Dayan, P., Zemel, R.
1465: (7,-8) "Tractable Variational Structures for Approximating Graphical Models" by Barber, D., Wiegerinck, W.
1466: (-5,25) "Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks" by Bartlett, P., Maiorov, V., Meir, R.
1467: (21,11) "Dynamics of Supervised Learning with Restricted Training Sets" by Coolen, A., Saad, D.
1468: (17,-4) "Dynamically Adapting Kernels in Support Vector Machines" by Campbell, C., Cristianini, N., Shawe-Taylor, J.
1469: (-8,-9) "Phase Diagram and Storage Capacity of Sequence-Storing Neural Networks" by Coolen, A., During, A., Shemngton, D.
1470: (9,-11) "Finite-Dimensional Approximation of Gaussian Processes" by Ferrari-Trecate, G., Opper, M., Williams, C.
1471: (28,-5) "Linear Hinge Loss and Average Margin," by Gentile, C., Warmuth, M.
1472: (2,-13) "Unsupervised and Supervised Clustering.' The Mutual Information between Parameters and Observations" by Herschkowitz, D., Nadal, J.
1473: (18,-29) "Convergence of the Wake-Sleep Algorithm," by Amari, S., Ikeda, S., Nakahara, H.
1474: (4,-7) "The Belief in TAP" by Kabashima, Y., Saad, D.
1475: (15,0) "Optimizing Classifers for Imbalanced Training Sets," by Karakoulas, G., Shawe-Taylor, J.
1476: (2,5) "Inference in Multilayer Networks via Large Deviation Bounds," by Kearns, M., Saul, L.
1477: (-7,3) "Stationarity and Stability of Autoregressive Neural Network Processes" by Homik, K., Leisch, F., Trapletti, A.
1478: (-30,3) "Computational Differences between Asymmetrical and Symmetrical Networks" by Dayan, P., Li, Z.
1479: (-8,6) "A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions" by Maass, W., Sontag, E.
1480: (18,7) "Direct Optimization of Margins Improves Generalization in Combined Classifiers" by Bartlett, P., Baxter, J., Mason, L.
1481: (8,8) "On the Optimality of Incremental Neural Network Algorithms," by Maiorov, V., Meir, R.
1482: (11,-1) "General Bounds on Bayes Errors for Regression with Gaussian Processes" by Opper, M., Vivarelli, F.
1483: (6,-4) "Mean FieM Methods for Classification with Gaussian Processes" by Opper, M., Winther, O.
1484: (16,9) "On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories" by Coolen, A., Rae, H., Sollich, P.
1485: (-3,18) "Tight Bounds for the VC-Dimension of Piecewise Polynomial_Networks" by Sakurai, A.
1486: (15,-9) "Shrinking the Tube: A New Support Vector Regression Algorithm," by Bartlett, P., Scholkopf, B., Smola, A., Williamson, R.
1487: (-9,-14) "Discontinuous Recall Transitions Induced by Competition Between Short- and Long-Range Interactions in Recurrent Networks," by Beckmann, C., Coolen, A., Skantzos, N.
1488: (21,9) "Learning Curves for Gaussian Processes" by Sollich, P.
1489: (2,-10) "A Theory of Mean Field Approximation" by Tanaka, T.
1490: (11,-13) "Learning a Hierarchical Belief Network of Independent Factor Analyzers" by Attias, H.
1491: (17,-2) "Semi-Supervised Support Vector Machines" by Bennett, K., Demiriz, A.
1492: (20,-8) "Lazy Learning Meets the Recursive Least Squares Algorithm" by Bersini, H., Birattari, M., Bontempi, G.
1493: (13,-27) "Bayesian PCA" by Bishop, C.
1494: (25,-11) "Learning Multi-Class Dynamics" by Blake, A., Isard, M., North, B.
1495: (36,-15) "Approximate Learning of Dynamic Models," by Boyen, X., Koller, D.
1496: (26,-19) "Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and  Learning in Nonlinear State Space Models," by Briegel, T., Tresp, V.
1497: (-3,7) "Global Optimisation of Neural Network Models via Sequential Sampling" by Doucet, A., Gee, A., Niranjan, M., de-Freitas, J.
1498: (12,-12) "Efficient Bayesian Parameter Estimation in Large Discrete Domains," by Friedman, N., Singer, Y.
1499: (16,-24) "A Randomized Algorithm for Pairwise Clustering" by Gdalyahu, Y., Weinshall, D., Wennan, M.
1500: (27,-22) "Learning Nonlinear Dynamical Systems Using an EM Algorithm" by Ghahramani, Z., Roweis, S.
1501: (14,-18) "Classification on Pairwise Proximity Data," by Bollmann-Sdorra, P., Graepel, T., Herbrich, R., Obermayer, K.
1502: (8,-11) "Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage," by Canu, S., Grandvalet, Y.
1503: (9,-24) "Visualizing Group Structure" by Buhmann, J., Held, M., Puzicha, J.
1504: (0,10) "Source Separation as a By-Product of Regularization" by Hochreiter, S., Schmidhuber, J.
1505: (15,-35) "Learning from Dyadic Data," by Hofmann, T., Jordan, M., Puzicha, J.
1506: (8,-26) "Sparse Code Shrinkage.' Denoising by Nonlinear Maximum Likelihood Estimation" by Hoyer, P., Hyvarinen, A., Oja, E.
1507: (6,-15) "Restructuring Sparse High Dimensional Data for Effective Retrieval," by Isbell, C., Viola, P.
1508: (12,-18) "Exploiting Generative Models in Discriminative Classifiers" by Haussler, D., Jaakkola, T.
1509: (16,-27) "Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm" by Jebara, T., Pentland, A.
1510: (24,-25) "A PolygonalLine Algorithm for Constructing Principal Curves," by Kegl, B., Krzyzak, A., Linder, T., Zeger, K.
1511: (15,-34) "Unsupervised Classification with Non-Gaussian Mixture Models Using ICA" by Lee, T., Lewicki, M., Sejnowski, T.
1512: (10,-23) "Learning a Continuous Hidden Variable Model for Binary Data," by Lee, D., Sompolinsky, H.
1513: (11,4) "Neural Networks for Density Estimation" by Atiya, A., Magdon-Ismail, M.
1514: (12,-27) "Exploratory Data Analysis Using Radial Basis Function Latent Variable Models," by Marts, A., Webb, A.
1515: (11,-13) "Kernel PCA and De-Noising in Feature Spaces" by Mika, S., Muller, K., Ratsch, G., Scholkopf, B., Scholz, M., Smola, A.
1516: (8,-14) "Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees" by Moore, A.
1517: (3,-7) "Replicator Equations, Maximal Cliques, and Graph Isomorphism," by Pelillo, M.
1518: (16,1) "Using Analytic QP and Sparseness to Speed Training of Support Vector Machines" by Platt, J.
1519: (17,4) "Regularizing AdaBoost" by Muller, K., Onoda, T., Ratsch, G.
1520: (3,-11) "Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks," by Bottou, L., Haffner, P., LeCun, Y., Simard, P.
1521: (18,-14) "Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy," by Singer, Y., Warmuth, M.
1522: (10,-13) "Semiparametric Support Vector and Linear Programming Machines," by Frieg, T., Scholkopf, B., Smola, A.
1523: (13,-33) "Probabilistic Visualisation of High-Dimensional Binary Data" by Tipping, M.
1524: (22,-32) "SMEM Algorithm for Mixture Models," by Ghahramani, Z., Hinton, G., Nakano, R., Ueda, N.
1525: (15,-31) "Learning Mixture Hierarchies," by Lippman, A., Vasconcelos, N.
1526: (10,-3) "Discovering Hidden Features with Gaussian Processes Regression," by Vivarelli, F., Williams, C.
1527: (9,-13) "The Bias-Variance Tradeoff and the Randomized GACV" by Gao, F., Klein, B., Klein, R., Lin, X., Wahba, G., Xiang, D.
1528: (5,-10) "Basis Selection for Wavelet Regression" by Dhawan, A., Wheeler, K.
1529: (2,-16) "DTs: Dynamic Trees," by Adams, N., Williams, C.
1530: (9,-13) "Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours" by Coughlan, J., Yuille, A.
1531: (21,-12) "Blind Separation of Filtered Sources Using State-Space Approach" by Cichocki, A., Zhang, L.
1532: (-21,-18) "Analog VLSI Cellular Implementation of the Boundary Contour System" by Cauwenberghs, G., Waskiewicz, J.
1533: (-13,1) "Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning  Capability" by Cho, J., Lee, S.
1534: (0,0) "A Micropower CMOSAdaptive Amplitude and Shift Invariant Vector Quantiser" by Coggins, R., Jabri, M., Wang, R.
1535: (-9,1) "Optimizing Correlation Algorithms for Hardware-Based Transient Classification" by Cauwenberghs, G., Edwards, R., Pineda, F.
1536: (-15,-17) "VLSI Implementation of Motion Centroid Localization for Autonomous  Navigation" by Etienne-Cummings, R., Ghani, M., Gruev, V.
1537: (-19,-13) "A Neuromorphic Monaural Sound Localizer," by Harris, J., Principe, J., Pu, C.
1538: (-16,-19) "An Integrated Vision Sensor for the Computation of Optical Flow Singular  Points" by Higgins, C., Koch, C.
1539: (-14,-9) "Computation of Smooth Optical Flow in a Feedback Connected Analog Network," by Douglas, R., Stocker, A.
1540: (-1,6) "High Performance k-NN Classifier Using a Binary Correlation Matrix Memory," by Austin, J., Kennedy, J., Zhou, P.
1541: (19,-31) "An Entropic Estimator for Structure Discovery" by Brand, M.
1542: (3,-19) "Coding lime- Varying Signals Using Sparse,  Shift-Invariant Representations," by Lewicki, M., Sejnowski, T.
1543: (6,3) "Controlling the Complexity of HMM Systems by Regularization," by Neukirchen, C., Rigoll, G.
1544: (8,-13) "Maximum-Likelihood Continuity Mapping (MALCOM) : An Alternative to HMMs" by Hogden, J., Nix, D.
1545: (13,-12) "Markov Processes on Curves for Automatic Speech Recognition," by Rahim, M., Saul, L.
1546: (12,-9) "Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations" by Coughlan, J., Yuille, A.
1547: (8,-11) "Example-Based Image Synthesis of Articulated Figures" by Darrell, T.
1548: (1,-16) "Learning to Estimate Scenes from Images," by Freeman, W., Pasztor, E.
1549: (3,-7) "Learning to Find Pictures of People" by Forsyth, D., Ioffe, S.
1550: (-15,-34) "Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model" by Braun, J., Itti, L., Koch, C., Lee, D.
1551: (-24,-28) "A V1 Model of Pop Out and Asymmetry in Visual Search" by Li, Z.
1552: (13,-8) "Support Vector Machines Applied to Face Recognition" by Phillips, P.
1553: (9,-10) "Learning Lie Groups for Invariant Visual Perception" by Rao, R., Ruderman, D.
1554: (-6,-21) "General-Purpose Localization of Textured Image Regions" by Rosenholtz, R.
1555: (1,-32) "Probabilistic Image Sensor Fusion," by Leen, T., Pavel, M., Sharma, R.
1556: (-5,-19) "Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape," by Thomber, K., Williams, L.
1557: (10,-13) "Classification in Non-Metric Spaces," by Gdalyahu, Y., Jacobs, D., Weinshall, D.
1558: (-25,44) "Making Templates Rotationally Invariant: An Application to Rotated Digit Recognition" by Baluja, S.
1559: (16,-32) "Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data" by Baluja, S.
1560: (4,-24) "Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields" by Cornford, D., Nabney, I., Williams, C.
1561: (-17,1) "Vertex Identification in High Energy Physics Experiments," by Abramowicz, H., Dror, G., Horn, D.
1562: (5,18) "Familiarity Discrimination of Radar Pulses" by Granger, E., Grossberg, S., Rubin, M., Streilein, W.
1563: (-14,25) "Fast Neural Network Emulation of Dynamical Systems for Computer Animation" by Grzeszczuk, R., Hinton, G., Terzopoulos, D.
1564: (13,-22) "Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model" by Hollmen, J., Tresp, V.
1565: (5,-15) "Graph Matching for Shape Retrieval" by Cross, A., Hancock, E., Huet, B.
1566: (30,-4) "Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts" by McGovern, A., Moss, E.
1567: (2,-15) "Bayesian Modeling of Facial Similarity" by Jebara, T., Moghaddam, B., Pentland, A.
1568: (28,5) "Reinforcement Learning for Trading" by Moody, J., Saffell, M.
1569: (13,-18) "Graphical Models for Recognizing Human Interactions" by Oliver, N., Pentland, A., Rosario, B.
1570: (-5,-20) "Independent Component Analysis of lntracellular Calcium Spike Data" by Borger, J., Brabant, G., Prank, K., Schofl, C., von-zur-Muhlen, A.
1571: (-13,23) "Applications of Multi-Resolution Neural Networks to Mammography" by Sajda, P., Spence, C.
1572: (14,-35) "Robot Docking Using Mixtures of Gaussians" by Hansen, V., Murray-Smith, R., Williamson, M.
1573: (-9,3) "Using Collective Intelligence to Route Internet Traffic" by Frank, J., Turner, K., Wolpert, D.
1574: (25,-11) "Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm," by Al-Ansari, M., Williams, R.
1575: (55,-4) "Gradient Descent for General Reinforcement Learning" by Baird, L., Moore, A.
1576: (-13,-11) "Non-Linear PI Control Inspired by Biological Control Systems" by Brown, L., Gonye, G., Schwaber, J.
1577: (37,-6) "Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning" by Brown, T., Singh, S., Tong, H.
1578: (33,-9) "Viewing Classifier Systems as Model Free Learning in POMDPs" by Hayashi, A., Suematsu, N.
1579: (36,-12) "Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms" by Kearns, M., Singh, S.
1580: (37,-12) "Exploring Unknown Environments with Real-71me Search or Reinforcement Learning" by Koenig, S.
1581: (30,-10) "The Effect of Eligibility Traces on Finding Optimal Memoryless Policies in Partially Observable Markov Decision Processes" by Loch, J.
1582: (34,-1) "Learning Instance-Independent Value Functions to Enhance Local Search" by Barto, A., Moll, R., Perkins, T., Sutton, R.
1583: (28,-10) "Barycentric Interpolators for Continuous Space and 71me Reinforcement Learning" by Moore, A., Munos, R.
1584: (40,-10) "Risk Sensitive Reinforcement Learning" by Mihatsch, O., Neuneier, R.
1585: (35,9) "Coordinate Transformation Learning of Hand Position Feedback Controller by Using Change of Position Error Norm," by Oyama, E., Tachi, S.
1586: (51,1) "Learning Macro-Actions in Reinforcement Learning" by Randlov, J.
1587: (29,-3) "Reinforcement Learning Based on On-Line EM Algorithm," by Ishii, S., Sato, M.
1588: (39,-15) "A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory" by Hayashi, A., Suematsu, N.
1589: (47,-15) "Improved Switching among Temporally Abstract Actions" by Precup, D., Ravindran, B., Singh, S., Sutton, R.
1590: (44,-15) "Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision Processes" by Singh, S., Williams, J.
1591: (-5,-15) "Recognizing Evoked Potentials in a Virtual Environment" by Ballard, D., Bayliss, J.
1592: (-22,-15) "A Neurodynamical Approach to Visual Attention" by Deco, G., Zihl, J.
1593: (-2,20) "Effects of Spatial and Temporal Contiguity on the Acquisition of Spatial Information," by Ghiselli-Crippa, T., Munro, P.
1594: (10,-27) "Acquisition in Autoshaping" by Dayan, P., Kakade, S.
1595: (-7,5) "Robust Recognition of Noisy and Superimposed Patterns via Selective Attention," by Lee, S., Mozer, M.
1596: (-13,-8) "Perceptual Organization Based on Temporal Dynamics" by Liu, X., Wang, D.
1597: (-13,-1) "Information Factorization in Connectionist Models of Perception" by McClelland, J., Movellan, J.
1598: (3,6) "Graded GrammaticaIity in Prediction FractaI Machines" by Dorffner, G., Parfitt, S., Tifio, P.
1599: (19,-7) "Rules and Similarity in Concept Learning" by Tenenbaum, J.
1600: (5,12) "Evolving Learnable Languages" by Blair, A., Tonkes, B., Wiles, J.
1601: (19,40) "Learning Statistically Neutral Tasks without Expert Guidance" by Postma, E., Weijters, T., van-den-Bosch, A.
1602: (-13,10) "A Generative Model for Attractor Dynamics" by Mozer, M., Zemel, R.
1603: (-44,-5) "Recurrent Cortical Competition: Strengthen or Weaken?" by Adorjan, P., Obermayer, K., Piepenbrock, C., Schwabe, L.
1604: (27,15) "Effective Learning Requires NeuronaI Remodeling of Hebbian Synapses" by Chechik, G., Meilijson, I., Ruppin, E.
1605: (-13,-12) "Wiring Optimization in the Brain" by Chklovskii, D., Stevens, C.
1606: (-28,-10) "Optimal Sizes of Dendritic and AxonaI Arbors" by Chklovskii, D.
1607: (-13,-14) "Neural Representation of Multi-Dimensional Stimuli" by Eurich, C., Schwegler, H., Wilke, S.
1608: (4,-6) "Spiking Boltzmann Machines" by Brown, A., Hinton, G.
1609: (-30,-7) "Distributed Synchrony of Spiking Neurons in a Hebbian Ceil Assembly" by Horn, D., Levy, N., Meilijson, I., Ruppin, E.
1610: (-28,-31) "Can V1 Mechanisms Account for Figure-Ground and Medial Axis Effects ?" by Li, Z.
1611: (-19,-14) "Channel Noise in Excitable Neural Membranes" by Koch, C., Manwani, A., Steinmetz, P.
1612: (-10,0) "LTD Facilitates Learning in a Noisy Environment" by Hernandez, G., Munro, P.
1613: (-13,-17) "Memory Capacity of Linear vs. Nonlinear Models of Dendritic Integration" by Mel, B., Poirazi, P.
1614: (-41,-7) "Predictive Sequence Learning in Recurrent Neocortical Circuits" by Rao, R., Sejnowski, T.
1615: (-25,-11) "A Recurrent Model of the Interaction Between Prefrontal and lnferotemporal  Cortex in Delay Tasks" by Parga, N., Renart, A., Rolls, E.
1616: (-30,-21) "Information Capacity and Robustness of Stochastic Neuron Models," by Schneidman, E., Segev, I., Tishby, N.
1617: (-23,-24) "An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task" by Hely, T., Pearlmutter, B., Tang, A., Weisend, M., Zibulevsky, M.
1618: (-5,-24) "Population Decoding Based on an Unfaithful Model," by Amari, S., Murata, N., Nakahara, H., Wu, S.
1619: (-7,1) "Spike-based Learning Rules and Stabilization of Persistent Neural Activity" by Seung, H., Xie, X.
1620: (17,-28) "A VariationaI Baysian Framework for Graphical Models" by Attias, H.
1621: (24,-17) "Model Selection in Clustering by Uniform Convergence Bounds" by Buhmann, J., Held, M.
1622: (14,-6) "Uniqueness of the SVM Solution" by Burges, C., Crisp, D.
1623: (14,-10) "Model Selection for Support Vector Machines" by Chapelle, O., Vapnik, V.
1624: (21,9) "Dynamics of Supervised Learning with Restricted Training Sets and Noisy Teachers" by Coolen, A., Mace, C.
1625: (7,-8) "A Geometric Interpretation of t/-SVM Classifiers" by Burges, C., Crisp, D.
1626: (11,-9) "Efficient Approaches to Gaussian Process Classification" by Csato, L., Fokoue, E., Opper, M., Schottky, B., Winther, O.
1627: (26,-2) "Potential Boosters?" by Duffy, N., Helmbold, D.
1628: (14,0) "Bayesian Averaging is Well-Temperated" by Hansen, L.
1629: (1,-9) "Regular and Irregular GaIIager-type Error-Correcting Codes," by Kabashima, Y., Murayama, T., Saad, D., Vicente, R.
1630: (8,-11) "Mixture Density Estimation" by Barron, A., Li, J.
1631: (31,14) "Statistical Dynamics of Batch Learning" by Li, S., Wong, K.
1632: (-10,1) "Neural Computation with Winner-Take-All as the Only Nonlinear Operation" by Maass, W.
1633: (24,2) "Boosting with Multi-Way Branching in Decision Trees" by Mansour, Y., McAllester, D.
1634: (16,0) "Inference for the Generalization Error" by Bengio, Y., Nadeau, C.
1635: (-9,-23) "Resonance in a Stochastic Neuron Model with Delayed Interaction" by Cowan, J., Ohira, T., Sato, Y.
1636: (19,7) "Understanding Stepwise Generalization of Support Vector Machines: a Toy Model" by Gordon, M., Risau-Gusman, S.
1637: (-11,29) "Lower Bounds on the Complexity of Approximating Continuous Functions by SigmoidaI Neural Networks" by Schmitt, M.
1638: (-3,-2) "Noisy Neural Networks and Generalizations" by Ben-Hut, A., Roitershtein, A., Siegelmann, H.
1639: (9,-6) "The Entropy Regularization Information Criterion" by Scholkopf, B., Shawe-Taylor, J., Smola, A., Williamson, R.
1640: (12,-10) "Probabilistic Methods for Support Vector Machines" by Sollich, P.
1641: (12,-4) "Algebraic Analysis for Non-regular Learning Machines" by Watanabe, S.
1642: (11,-13) "Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems" by Amari, S., Cichocki, A., Zhang, L.
1643: (12,-4) "Some Theoretical Results Concerning the Convergence of Compositions of ReguIarized Linear Functions" by Zhang, T.
1644: (11,-16) "Robust Full Bayesian Methods for Neural Networks," by Andrieu, C., Doucet, A., de-Freitas, J.
1645: (19,-31) "Independent Factor Analysis with Temporally Structured Sources" by Attias, H.
1646: (6,1) "Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks" by Barber, D., Sollich, P.
1647: (-2,22) "Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks" by Bengio, S., Bengio, Y.
1648: (21,-14) "Robust Neural Network Regression for Offiine and Online Learning" by Briegel, T., Tresp, V.
1649: (19,-26) "Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints" by Carreira-Perpinan, M.
1650: (13,-4) "Transductive Inference for Estimating Values of Functions," by Chapelle, O., Vapnik, V., Weston, J.
1651: (13,-16) "The Nonnegative Boltzmann Machine" by Downs, O., Lee, D., MacKay, D.
1652: (7,-1) "Differentiating Functions of the Jacobian with Respect to the Weights" by Flake, G., Pearlmutter, B.
1653: (18,18) "Local Probability Propagation for Factor Analysis" by Frey, B.
1654: (15,-33) "Variational Inference for Bayesian Mixtures of Factor AnaIysers" by Beal, M., Ghahramani, Z.
1655: (16,-8) "Bayesian Transduction" by Graepel, T., Herbrich, R., Obermayer, K.
1656: (2,-8) "Learning to Parse Images" by Ghahramani, Z., Hinton, G., Teh, Y.
1657: (13,-14) "Maximum Entropy Discrimination" by Jaakkola, T., Jebara, T., Meila, M.
1658: (8,-28) "Topographic Transformation as a Discrete Latent Variable" by Frey, B., Jojic, N.
1659: (18,-5) "An Improved Decomposition Algorithm for Regression Support Vector Machines" by Laskov, P.
1660: (19,-28) "Algorithms for Independent Components Analysis and Higher Order Statistics" by Lee, D., Rokni, U., Sompolinsky, H.
1661: (25,-9) "The Relaxed Online Maximum Margin Algorithm" by Li, Y., Long, P.
1662: (16,-13) "Bayesian Network Induction via Local Neighborhoods" by Margaritis, D., Thrun, S.
1663: (19,0) "Boosting Algorithms as Gradient Descent" by Bartlett, P., Baxter, J., Frean, M., Mason, L.
1664: (30,-2) "A Multi-class Linear Learning Algorithm Related to Winnow" by Mesterharm, C.
1665: (10,-8) "Invariant Feature Extraction and Classification in Kernel Spaces" by Mika, S., Muller, K., Ratsch, G., Scholkopf, B., Smola, A., Weston, J.
1666: (13,-4) "Approximate Inference Algorithms for Two-Layer Bayesian Networks" by Jordan, M., Ng, A.
1667: (14,-12) "Optimal Kernel Shapes for Local Linear Regression" by Hastie, T., Ormoneit, D.
1668: (17,5) "Large Margin DAGs for Multiclass Classification" by Cristianini, N., Platt, J., Shawe-Taylor, J.
1669: (11,-29) "The Infinite Gaussian Mixture Model" by Rasmussen, C.
1670: (22,2) "v-Arc: Ensemble Learning in the Presence of Outliers" by Mika, S., Muller, K., Onoda, T., Ratsch, G., Scholkopf, B., Smola, A.
1671: (18,-14) "Nonlinear Discriminant Analysis Using Kernel Functions" by Roth, V., Steinhage, V.
1672: (6,-12) "An Analysis of Turbo Decoding with Gaussian Densities" by Rusmevichiemong, P., van-Roy, B.
1673: (20,-9) "Support Vector Method for Novelty Detection" by Platt, J., Scholkopf, B., Shawe-Taylor, J., Smola, A., Williamson, R.
1674: (15,-25) "Better Generatire Models for Sequential Data Problems: Bidirectional Recurrent Mixture Density Networks" by Schuster, M.
1675: (8,-11) "Greedy Importance Sampling" by Schuurmans, D.
1676: (15,-15) "Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel Classifiers," by Seeger, M.
1677: (21,3) "Leveraged Vector Machines" by Singer, Y.
1678: (5,-12) "AggIomerative Information Bottleneck" by Slonim, N., Tishby, N.
1679: (30,10) "Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks" by Ogawa, H., Sugiyama, M.
1680: (12,-12) "Predictive Approaches for Choosing Hyperparameters in Gaussian Processes" by Keerthi, S., Sundararajan, S.
1681: (7,-13) "On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling" by Sykacek, P.
1682: (10,-17) "Building Predictive Models from FractaI Representations of Symbolic Sequences" by Dorffner, G., Tifio, P.
1683: (13,-7) "The Relevance Vector Machine" by Tipping, M.
1684: (11,-14) "Support Vector Method for Multivariate Density Estimation" by Mukherjee, S., Vapnik, V.
1685: (16,-13) "Dual Estimation and the Unscented Transformation" by Nelson, A., Wan, E., van-der-Merwe, R.
1686: (5,-4) "Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology" by Freeman, W., Weiss, Y.
1687: (10,-25) "A MCMC Approach to Hierarchical Mixture Modelling" by Williams, C.
1688: (1,2) "Data Visualization and Feature Selection: New Algorithms for Nongaussian Data," by Moody, J., Yang, H.
1689: (11,-7) "ManifoM Stochastic Dynamics for Bayesian Learning," by Baram, Y., Zlochin, M.
1690: (9,-11) "The Parallel Problems Server: an Interactive Tool for Large Scale Machine Learning" by Husbands, P., Isbell, C.
1691: (-23,-14) "An Oculo-Motor System with Multi-Chip Neuromorphic Analog VLSI Control," by Gyger, S., Landolt, O.
1692: (-37,9) "A Winner-Take-All Circuit with Controllable Soft Max Property" by Liu, S.
1693: (-25,-4) "A Neuromorphic VLSI System for Modeling the Neural Control of Axial Locomotion," by Brown, E., DeWeerth, S., Patel, G.
1694: (-13,-20) "Bifurcation Analysis of a Silicon Neuron" by Calabrese, R., Cymbalyuk, G., DeWeerth, S., Patel, G.
1695: (-32,-18) "An Analog VLSI Model of Periodicity Extraction" by van-Schaik, A.
1696: (-22,3) "An Oscillatory Correlation Framework for Computational Auditory Scene Analysis" by Brown, G., Wang, D.
1697: (3,-26) "Bayesian Modelling of fMR[ Time Series," by Hansen, L., Hojen-Sorensen, P., Rasmussen, C.
1698: (-21,-6) "Neural System Model of Human Sound Localization," by Carlile, S., Jin, C.
1699: (-14,-22) "Spectral Cues in Human Sound Localization," by Carlile, S., Corderoy, A., Jin, C., van-Schaik, A.
1700: (1,-15) "Broadband Direction-Of-Arrival Estimation Based on Second Order Statistics" by Jourjine, A., Rickard, S., Rosca, J., Ruanaidh, J.
1701: (32,-22) "Constrained Hidden Markov Models" by Roweis, S.
1702: (16,-1) "Online Independent Component Analysis with Local Learning Rate Adaptation" by Giannakopoulos, X., Schraudolph, N.
1703: (13,-19) "Speech Modelling Using Subspace and EM Techniques," by Niranjan, M., Robinson, T., Smith, G., de-Freitas, J.
1704: (-2,-9) "Search for Information Bearing Components in Speech," by Hermansky, H., Yang, H.
1705: (-11,-15) "Audio Vision: Using Audio- Visual Synchrony to Locate Sounds" by Hershey, J., Movellan, J.
1706: (1,-21) "Bayesian Reconstruction of 3D Human Motion from Single-Camera Video," by Freeman, W., Howe, N., Levemon, M.
1707: (-3,-40) "Emergence of Topography and Complex Cell Properties from Natural Images using Extensions oflCA" by Hoyer, P., Hyvarrinen, A.
1708: (-19,-17) "An Information-Theoretic Framework for Understanding Saccadic Eye Movements" by Lee, T., Yu, S.
1709: (13,-17) "Learning Sparse Codes with a Mixture-of-Gaussians Prior," by Millman, K., Olshausen, B.
1710: (4,-29) "Hierarchical Image Probability (HIP) Models" by Parra, L., Spence, C.
1711: (1,-27) "Scale Mixtures of Gaussians and the Statistics of Natural Images," by Simoncelli, E., Wainwright, M.
1712: (13,12) "A SNoW-Based Face Detector" by Ahuja, N., Roth, D., Yang, M.
1713: (-1,-32) "Managing Uncertainty in Cue Combination," by Yang, Z., Zemel, R.
1714: (17,-23) "Robust Learning of Chaotic Attractors," by Bakker, R., Coppens, M., Giles, C., Schouten, J., Takens, F., van-den-Bleek, C.
1715: (3,-13) "Image Representations for Facial Expression Coding," by Bartlett, M., Donato, G., Ekman, P., Hager, J., Movellan, J., Sejnowski, T.
1716: (34,-10) "Low Power Wireless Communication via Reinforcement Learning" by Brown, T.
1717: (9,-15) "Learning Informative Statistics: A Nonparametric Approach" by Fisher, J., Ihler, A., Viola, P.
1718: (-2,-10) "Kirchoff Law Markov Fields for Analog Circuit Design" by Golden, R.
1719: (12,-15) "Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization" by Holmann, T.
1720: (2,1) "Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic Forecasting" by Liao, Y., Moody, J.
1721: (12,-27) "From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression Data" by Castafio, R., Mann, T., Mjolsness, E., Wold, B.
1722: (3,-6) "Churn Reduction in the Wireless Industry" by Grimes, D., Johnson, E., Kaushansky, H., Mozer, M., Wolniewicz, R.
1723: (5,-20) "Unmixing Hyperspectral Data" by Muller, K., Parra, L., Sajda, P., Spence, C., Ziehe, A.
1724: (1,-17) "Application of Blind Separation of Sources to Optical Recording of Brain Activity" by Lund, J., Mayhew, J., McLoughlin, N., Obermayer, K., Schiegl, I., Schoner, H., Stetter, M.
1725: (34,-15) "Reinforcement Learning for Spoken Dialogue Systems" by Kearns, M., Litman, D., Singh, S., Walker, M.
1726: (0,-8) "Image Recognition in Context: Application to Microscopic Urinalysis" by Abu-Mostafa, Y., Kasdan, H., Sill, J., Song, X.
1727: (13,-23) "Generalized Model Selection for Unsupervised Learning in High Dimensions" by Dom, B., Vaithyanathan, S.
1728: (11,-9) "Learning from User Feedback in Image Retrieval Systems" by Lippman, A., Vasconcelos, N.
1729: (35,-24) "An Environment Model for Nonstationary Reinforcement Learning" by Choi, S., Yeung, D., Zhang, N.
1730: (52,-12) "State Abstraction in MAXQ Hierarchical Reinforcement Learning" by Dietterich, T.
1731: (34,-17) "Approximate Planning in Large POMDPs via Reusable Trajectories" by Kearns, M., Mansour, Y., Ng, A.
1732: (30,-9) "Actor-Critic Algorithms" by Konda, V., Tsitsiklis, J.
1733: (12,-16) "Bayesian Map Learning in Dynamic Environments" by Murphy, K.
1734: (35,-18) "Policy Search via Density Estimation," by Koller, D., Ng, A., Parr, R.
1735: (12,-35) "Neural Network Based Model Predictive Control" by Boe, G., Gerules, M., Johnson, D., Keeler, J., Martin, G., Piche, S.
1736: (37,-10) "Reinforcement Learning Using Approximate Belief States" by Koller, D., Parr, R., Rodriguez, A.
1737: (21,-16) "Coastal Navigation with Mobile Robots" by Roy, N., Thrun, S.
1738: (38,-5) "Learning Factored Representations for Partially Observable Markov Decision Processes" by Sallans, B.
1739: (47,-10) "Policy Gradient Methods for Reinforcement Learning with Function Approximation" by Mansour, Y., McAllester, D., Singh, S., Sutton, R.
1740: (40,-14) "Monte Carlo POMDPs" by Thrun, S.

