Książka Bayesian Learning for Neural Networks Radford M. Neal

Bayesian Learning for Neural Networks

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
718.97
Artificial "neural networks" are widely used as flexible models for classification and regression ap...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
1996
strony
204
EAN
9780387947242
ISBN
0387947248
Enbook ID
01384136
Waga
326
Wymiary
233 x 158 x 16

Pełny opis

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.

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