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dc.contributor.author Yoshida, R
dc.contributor.author West, M
dc.date.accessioned 2011-06-21T17:32:27Z
dc.date.issued 2010-05
dc.identifier http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000282522000008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92
dc.identifier.citation JOURNAL OF MACHINE LEARNING RESEARCH, 2010, 11 pp. 1771 - 1798
dc.identifier.issn 1532-4435
dc.identifier.uri http://hdl.handle.net/10161/4635
dc.format.extent 1771 - 1798
dc.language.iso en_US en_US
dc.relation.ispartof JOURNAL OF MACHINE LEARNING RESEARCH
dc.subject annealing
dc.subject graphical factor models
dc.subject variational mean-field method
dc.subject MAP estimation
dc.subject sparse factor analysis
dc.subject gene expression profiling
dc.title Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
dc.title.alternative en_US
dc.type Journal Article
dc.description.version Version of Record en_US
duke.date.pubdate 2010-5-0 en_US
duke.description.endpage 1798 en_US
duke.description.issue en_US
duke.description.startpage 1771 en_US
duke.description.volume 11 en_US
dc.relation.journal Journal of Machine Learning Research en_US
pubs.author-url http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000282522000008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=47d3190e77e5a3a53558812f597b0b92
pubs.organisational-group /Duke
pubs.organisational-group /Duke/School of Medicine
pubs.organisational-group /Duke/School of Medicine/Institutes and Centers
pubs.organisational-group /Duke/School of Medicine/Institutes and Centers/Duke Cancer Institute
pubs.organisational-group /Duke/Trinity College of Arts & Sciences
pubs.organisational-group /Duke/Trinity College of Arts & Sciences/Statistical Science
pubs.publication-status Published
pubs.volume 11

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