عنوان

Bayesian learning for neural networks /

شابک

0387947248 (softcover : alk. paper)

شابک

9780387947242 (softcover : alk. paper)

شابک اشتباه

0387982221

شماره

dltt

عنوان اصلي

Bayesian learning for neural networks /

نام عام مواد

[Book]

نام نخستين پديدآور

Radford M. Neal.

محل نشرو پخش و غیره

New York :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

1996.

نام خاص و کميت اثر

xi, 183 p. :

ساير جزييات

ill. ;

ابعاد

24 cm.

عنوان فروست

Lecture notes in statistics ;

مشخصه جلد

118

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

1. Introduction -- 2. Priors for Infinite Networks -- 3. Monte Carlo Implementation -- 4. Evaluation of Neural Network Models -- 5. Conclusions and Further Work -- A. Details of the Implementation -- B. Obtaining the software.

بدون عنوان

0

متن يادداشت

Artificial "neural networks" are now widely used as flexible models for regression classification applications, but questions remain regarding what these models mean, and how they can safely be used when training data is limited. Bayesian Learning for Neural Networks shows that Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional neural network learning methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. Use of these models in practice is made possible using Markov chain Monte Carlo techniques. Both the theoretical and computational aspects of this work are of wider statistical interest, as they contribute to a better understanding of how Bayesian methods can be applied to complex problems.

متن يادداشت

Presupposing only the basic knowledge of probability and statistics, this book should be of interest to many researchers in statistics, engineering, and artificial intelligence. Software for Unix systems that implements the methods described is freely available over the Internet.

موضوع مستند نشده

Bayesian statistical decision theory.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Neural networks (Computer science)

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Neal, Radford M.

تاريخ عمليات

20140218105108.0

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y