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Bayesian Learning for Neural Networks

Name: Bayesian Learning for Neural Networks
Brand: Springer-Verlag New York Inc.
SKU: 01384136
Price: 69103 HUF
Availability: InStock
Author: Radford M. Neal
ISBN: 9780387947242

Radford M. Neal

Language

English

Book Paperback

Libristo code: 01384136

Publishers Springer-Verlag New York Inc., August 1996

Artificial "neural networks" are widely used as flexible models for classification and regression ap... Full description

Libristo code: 01384136

460 b

69 103 Ft

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Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and software for it is freely available over the Internet. Presupposing only basic knowledge of probability and statistics, this book should be of interest to researchers in statistics, engineering, and artificial intelligence.