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Bayesian models for structured sparse estimation via set cover prior

Liu, Xianghang; Zhang, Xinhua; Caetano, Tiberio

Description

A number of priors have been recently developed for Bayesian estimation of sparse models. In many applications the variables are simultaneously relevant or irrelevant in groups, and appropriately modeling this correlation is important for improved sample

dc.contributor.authorLiu, Xianghang
dc.contributor.authorZhang, Xinhua
dc.contributor.authorCaetano, Tiberio
dc.coverage.spatialNancy France
dc.date.accessioned2015-12-08T22:25:20Z
dc.date.createdSeptember 15-19 2014
dc.identifier.isbn9783662448502
dc.identifier.urihttp://hdl.handle.net/1885/33400
dc.description.abstractA number of priors have been recently developed for Bayesian estimation of sparse models. In many applications the variables are simultaneously relevant or irrelevant in groups, and appropriately modeling this correlation is important for improved sample
dc.publisherSpringer
dc.relation.ispartofseriesEuropean Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.source.urihttp://link.springer.com/book/10.1007/978-3-662-44851-9
dc.titleBayesian models for structured sparse estimation via set cover prior
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2014
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationa383154xPUB102
local.type.statusPublished Version
local.contributor.affiliationLiu, Xianghang, National ICT Australia
local.contributor.affiliationZhang, Xinhua, College of Engineering and Computer Science, ANU
local.contributor.affiliationCaetano, Tiberio, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage273
local.bibliographicCitation.lastpage289
local.identifier.doi10.1007/978-3-662-44851-9_18
dc.date.updated2015-12-08T09:05:10Z
local.identifier.scopusID2-s2.0-84907051367
CollectionsANU Research Publications

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