Correcting sample selection bias by unlabeled data

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dc.contributor.authorHuang, Jiayuan
dc.contributor.authorSmola, Alexander
dc.contributor.authorGretton, Arthur
dc.contributor.authorBorgwardt, Karsten
dc.contributor.authorSchoelkopf, Bernhard
dc.coverage.spatialVancouver
dc.date.accessioned2015-12-08T22:43:55Z
dc.date.createdDecember 2006
dc.date.issued2007
dc.date.updated2015-12-08T10:43:22Z
dc.identifier.isbn9780262195683
dc.identifier.urihttp://hdl.handle.net/1885/37410
dc.publisherMIT Press
dc.relation.ispartofseriesConference on Advances in Neural Information Processing Systems (NIPS 2006)
dc.sourceAdvances in Neural Information Processing Systems 19
dc.titleCorrecting sample selection bias by unlabeled data
dc.typeConference paper
local.bibliographicCitation.lastpage608
local.bibliographicCitation.startpage601
local.contributor.affiliationHuang, Jiayuan, University of Waterloo
local.contributor.affiliationSmola, Alexander, College of Engineering and Computer Science, ANU
local.contributor.affiliationGretton, Arthur, Max Planck Institute for Biological Cybernetics
local.contributor.affiliationBorgwardt, Karsten, Ludwig Maximilian University of Munich
local.contributor.affiliationSchoelkopf, Bernhard, Max Planck Institute for Biological Cybernetics
local.contributor.authoruidSmola, Alexander, u4039398
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationu8803936xPUB148
local.type.statusPublished Version

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