@inproceedings{040fa51746664f3c9c73dab9c6a182b6,
title = "Learning with noise and regularizers in multilayer neural networks",
abstract = "We study the effect of noise and regularization in an on-line gradient-descent learning scenario for a general two-layer student network with an arbitrary number of hidden units. Training examples are randomly drawn input vectors labeled by a two-layer teacher network with an arbitrary number of hidden units; the examples are corrupted by G aussian noise affecting either the output or the model itself. We examine the effect of both types of noise and that of weight-decay regularization on the dynamical evolution of the order parameters and the generalization error in various phases of the learning process.",
author = "David Saad and Solla, {Sara A.}",
year = "1997",
language = "English (US)",
isbn = "0262100657",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural information processing systems foundation",
pages = "260--266",
booktitle = "Advances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996",
note = "10th Annual Conference on Neural Information Processing Systems, NIPS 1996 ; Conference date: 02-12-1996 Through 05-12-1996",
}