ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers

Part of Advances in Neural Information Processing Systems 9 (NIPS 1996)

Authors

Friedrich Leisch, Kurt Hornik

Abstract

We introduce arc-Ih, a new algorithm for improvement of ANN clas(cid:173) sifier performance, which measures the importance of patterns by aggregated network output errors. On several artificial benchmark problems, this algorithm compares favorably with other resample and combine techniques.