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dc.contributor.author
Zhou, Guangyao
dc.contributor.author
Geman, Stuart
dc.contributor.author
Buhmann, Joachim M.
dc.date.accessioned
2017-06-11T14:31:31Z
dc.date.available
2017-06-11T14:31:31Z
dc.date.issued
2014
dc.identifier.isbn
978-1-4799-5186-4
dc.identifier.other
10.1109/ISIT.2014.6874968
dc.identifier.uri
http://hdl.handle.net/20.500.11850/94209
dc.language.iso
en
dc.publisher
IEEE
dc.title
Sparse feature selection by information theory
dc.type
Conference Paper
ethz.book.title
2014 IEEE International Symposium on Information Theory
ethz.pages.start
926
ethz.pages.end
930
ethz.event
2014 IEEE International Symposium on Information Theory
ethz.event.location
Hawaii, HI, USA
ethz.event.date
June 29 -July 4, 2014
ethz.notes
.
ethz.publication.place
Piscataway, N.J.
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
ethz.date.deposited
2017-06-11T14:32:00Z
ethz.source
ECIT
ethz.identifier.importid
imp593652a7a552514519
ethz.ecitpid
pub:148087
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-13T08:10:57Z
ethz.rosetta.lastUpdated
2018-11-02T17:15:05Z
ethz.rosetta.versionExported
true
ethz.COinS
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