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Kernel methods for missing variables

dc.contributor.authorSmola, Alexander
dc.contributor.authorVishwanathan, S
dc.contributor.authorHofmann, Thomas
dc.coverage.spatialBarbados
dc.date.accessioned2015-12-13T22:57:44Z
dc.date.created6-8 January 2005
dc.date.issued2005
dc.date.updated2015-12-12T07:18:27Z
dc.identifier.isbn097273581X
dc.identifier.urihttp://hdl.handle.net/1885/83112
dc.publisherSociety for Artificial Intelligence and Statistics
dc.relation.ispartofseriesInternational Conference on Artificial Intelligence and Statistics (AISTATS 2005)
dc.sourceProceedings of the 10th International Workshop on Artificial Intelligence and Statistics (AISTATS 2005)
dc.source.urihttp://www.gatsby.ucl.ac.uk/aistats
dc.source.urihttp://www.gatsby.ucl.ac.uk/aistats/aistats2005_eproc.pdf
dc.titleKernel methods for missing variables
dc.typeConference paper
local.bibliographicCitation.lastpage332
local.bibliographicCitation.startpage325
local.contributor.affiliationSmola, Alexander, College of Engineering and Computer Science, ANU
local.contributor.affiliationVishwanathan, S, College of Engineering and Computer Science, ANU
local.contributor.affiliationHofmann, Thomas, Brown University
local.contributor.authoruidSmola, Alexander, u4039398
local.contributor.authoruidVishwanathan, S, a204054
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationMigratedxPub11319
local.type.statusPublished Version

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