Bayesian Learning for Neural Networks /

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 n...

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Bibliographic Details

Main Author:	Neal, Radford M.
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	New York, NY : Springer New York, 1996.
Series:	Lecture notes in statistics (Springer-Verlag) ; 118.
Subjects:	Statistics. Artificial intelligence. Electronic books.
Online Access:	Connect to the full text of this electronic book