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dc.contributor.author
Jaggi, Martin
dc.contributor.editor
Suykens, Johan A.K.
dc.date.accessioned
2017-06-11T13:59:40Z
dc.date.available
2017-06-11T13:59:40Z
dc.date.issued
2014
dc.identifier.isbn
978-1-4822-4139-6
dc.identifier.isbn
978-1-4822-4140-2
dc.identifier.uri
http://hdl.handle.net/20.500.11850/92958
dc.language.iso
en
dc.publisher
Taylor and Francis
dc.title
An Equivalence between the Lasso and Support Vector Machines
dc.type
Book Chapter
ethz.book.title
Regularization, Optimization, Kernels, and Support Vector Machines
ethz.pages.start
1
ethz.pages.end
26
ethz.notes
.
ethz.publication.place
Hoboken
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::09462 - Hofmann, Thomas / Hofmann, Thomas
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::09462 - Hofmann, Thomas / Hofmann, Thomas
ethz.date.deposited
2017-06-11T13:59:50Z
ethz.source
ECIT
ethz.identifier.importid
imp593652904d86524904
ethz.ecitpid
pub:146122
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-14T14:36:55Z
ethz.rosetta.lastUpdated
2018-11-02T16:49:20Z
ethz.rosetta.versionExported
true
ethz.COinS
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