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dc.contributor.author
Vogt, Julia E.
dc.contributor.author
Kloft, Marius
dc.contributor.author
Stark, Stefan
dc.contributor.author
Raman, Sudhir S.
dc.contributor.author
Prabhakaran, Sandhya
dc.contributor.author
Roth, Volker
dc.contributor.author
Raetsch, Gunnar
dc.date.accessioned
2017-06-11T19:08:53Z
dc.date.available
2017-06-11T19:08:53Z
dc.date.issued
2015-09
dc.identifier.issn
0885-6125
dc.identifier.issn
1573-0565
dc.identifier.other
10.1007/s10994-015-5516-x
dc.identifier.uri
http://hdl.handle.net/20.500.11850/103816
dc.language.iso
en
dc.publisher
Springer
dc.title
Probabilistic clustering of time-evolving distance data
dc.type
Journal Article
ethz.journal.title
Machine Learning
ethz.journal.volume
100
ethz.journal.issue
2-3
ethz.journal.abbreviated
Mach. learn.
ethz.pages.start
635
ethz.pages.end
654
ethz.notes
Received 25 July 2014, Accepted 10 June 2015.
ethz.identifier.wos
ethz.identifier.nebis
000034614
ethz.publication.place
Berlin
ethz.publication.status
published
ethz.date.deposited
2017-06-11T19:09:27Z
ethz.source
ECIT
ethz.identifier.importid
imp5936537027b9f85945
ethz.ecitpid
pub:162354
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-13T12:27:22Z
ethz.rosetta.lastUpdated
2017-11-01T09:42:38Z
ethz.rosetta.versionExported
true
ethz.COinS
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