Matches in Harvard for { <http://id.lib.harvard.edu/aleph/007062350/catalog> ?p ?o. }
Showing items 1 to 25 of
25
with 100 items per page.
- catalog abstract "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.".
- catalog contributor b9785193.
- catalog created "1996.".
- catalog date "1996".
- catalog date "1996.".
- catalog dateCopyrighted "1996.".
- catalog description "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.".
- catalog description "Includes bibliographical references and index.".
- catalog extent "xiv, 183 p. :".
- catalog identifier "0387947248 (softcover : alk. paper)".
- catalog isPartOf "Lecture notes in statistics (Springer-Verlag) ; v. 118.".
- catalog isPartOf "Lecture notes in statistics ; 118".
- catalog issued "1996".
- catalog issued "1996.".
- catalog language "eng".
- catalog publisher "New York : Springer,".
- catalog subject "006.3 20".
- catalog subject "Artificial intelligence.".
- catalog subject "Bayesian statistical decision theory.".
- catalog subject "Machine learning.".
- catalog subject "Neural networks (Computer science)".
- catalog subject "QA279.5 .N43 1996".
- catalog subject "Statistics.".
- catalog title "Bayesian learning for neural networks / Radford M. Neal.".
- catalog type "text".