| Literature DB >> 12662498 |
Lars Kai Hansen1, Cyril Goutte.
Abstract
We investigate the use of a regularization prior and its pruning properties. We illustrate the behavior of this prior by conducting analyses both using a Bayesian framework and with the generalization method, on a simple toy problem. Results are thoroughly compared with those obtained with a traditional weight decay. Copyright 1997 Elsevier Science Ltd.Year: 1997 PMID: 12662498 DOI: 10.1016/s0893-6080(97)00027-0
Source DB: PubMed Journal: Neural Netw ISSN: 0893-6080