Bayesian Neural Networks

Detalhes bibliográficos
Autor(a) principal: Bishop,Christopher M.
Data de Publicação: 1997
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Computer Society
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001997000200006
Resumo: Bayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a solution to the problem of over-fitting. This article provides an introductory overview of the application of Bayesian methods to neural networks. It assumes the reader is familiar with standard feed-forward network models and how to train them using conventional techniques
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spelling Bayesian Neural NetworksBayesian techniquesstatistical pattern recognitionfeedforward networksBayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a solution to the problem of over-fitting. This article provides an introductory overview of the application of Bayesian methods to neural networks. It assumes the reader is familiar with standard feed-forward network models and how to train them using conventional techniquesSociedade Brasileira de Computação1997-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001997000200006Journal of the Brazilian Computer Society v.4 n.1 1997reponame:Journal of the Brazilian Computer Societyinstname:Sociedade Brasileira de Computação (SBC)instacron:UFRGS10.1590/S0104-65001997000200006info:eu-repo/semantics/openAccessBishop,Christopher M.eng1998-10-07T00:00:00Zoai:scielo:S0104-65001997000200006Revistahttps://journal-bcs.springeropen.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpjbcs@icmc.sc.usp.br1678-48040104-6500opendoar:1998-10-07T00:00Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)false
dc.title.none.fl_str_mv Bayesian Neural Networks
title Bayesian Neural Networks
spellingShingle Bayesian Neural Networks
Bishop,Christopher M.
Bayesian techniques
statistical pattern recognition
feedforward networks
title_short Bayesian Neural Networks
title_full Bayesian Neural Networks
title_fullStr Bayesian Neural Networks
title_full_unstemmed Bayesian Neural Networks
title_sort Bayesian Neural Networks
author Bishop,Christopher M.
author_facet Bishop,Christopher M.
author_role author
dc.contributor.author.fl_str_mv Bishop,Christopher M.
dc.subject.por.fl_str_mv Bayesian techniques
statistical pattern recognition
feedforward networks
topic Bayesian techniques
statistical pattern recognition
feedforward networks
description Bayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a solution to the problem of over-fitting. This article provides an introductory overview of the application of Bayesian methods to neural networks. It assumes the reader is familiar with standard feed-forward network models and how to train them using conventional techniques
publishDate 1997
dc.date.none.fl_str_mv 1997-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001997000200006
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65001997000200006
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-65001997000200006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Computação
publisher.none.fl_str_mv Sociedade Brasileira de Computação
dc.source.none.fl_str_mv Journal of the Brazilian Computer Society v.4 n.1 1997
reponame:Journal of the Brazilian Computer Society
instname:Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
instname_str Sociedade Brasileira de Computação (SBC)
instacron_str UFRGS
institution UFRGS
reponame_str Journal of the Brazilian Computer Society
collection Journal of the Brazilian Computer Society
repository.name.fl_str_mv Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)
repository.mail.fl_str_mv jbcs@icmc.sc.usp.br
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