Bayesian learning for neural networks /

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Bibliographic Details
Author / Creator:Neal, Radford M.
Imprint:New York : Springer, 1996.
Description:xi, 183 p. : ill. ; 24 cm.
Language:English
Series:Lecture notes in statistics ; 118
Lecture notes in statistics (Springer-Verlag) ; v. 118.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/2574609
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ISBN:0387947248 (softcover : alk. paper)
Notes:Includes bibliographical references and index.

MARC

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505 0 0 |g 1.  |t Introduction --  |g 2.  |t Priors for Infinite Networks --  |g 3.  |t Monte Carlo Implementation --  |g 4.  |t Evaluation of Neural Network Models --  |g 5.  |t Conclusions and Further Work --  |g A.  |t Details of the Implementation --  |g B.  |t Obtaining the software. 
650 0 |a Bayesian statistical decision theory.  |0 http://id.loc.gov/authorities/subjects/sh85012506 
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