Submodular Function Maximization
dc.contributor.author
Krause, Andreas
dc.contributor.author
Golovin, Daniel
dc.contributor.editor
Bordeaux, Lucas
dc.contributor.editor
Hamadi, Youssef
dc.contributor.editor
Kohli, Pushmeet
dc.date.accessioned
2017-06-10T12:05:49Z
dc.date.available
2017-06-10T12:05:49Z
dc.date.issued
2014
dc.identifier.isbn
978-1-139-17780-1
dc.identifier.isbn
978-1-107-02519-6
dc.identifier.other
10.1017/CBO9781139177801.004
dc.identifier.uri
http://hdl.handle.net/20.500.11850/60412
dc.language.iso
en
dc.publisher
Cambridge University Press
dc.title
Submodular Function Maximization
dc.type
Book Chapter
ethz.book.title
Tractability : Practical Approaches to Hard Problems
ethz.pages.start
71
ethz.pages.end
104
ethz.identifier.nebis
010424672
ethz.publication.place
Cambridge
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::03908 - Krause, Andreas / Krause, Andreas
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::03908 - Krause, Andreas / Krause, Andreas
ethz.date.deposited
2017-06-10T12:06:08Z
ethz.source
ECIT
ethz.identifier.importid
imp593650224749d79448
ethz.ecitpid
pub:96500
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-15T02:20:24Z
ethz.rosetta.lastUpdated
2018-11-02T07:01:32Z
ethz.rosetta.versionExported
true
ethz.COinS
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Book Chapter [9417]