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dc.contributor.author
Wulff, Sharon
dc.contributor.supervisor
Ben-David, Shai
dc.contributor.supervisor
Buhmann, Joachim M.
dc.date.accessioned
2017-10-25T09:42:39Z
dc.date.available
2017-06-11T09:58:08Z
dc.date.available
2017-10-25T09:42:39Z
dc.date.issued
2014
dc.identifier.uri
http://hdl.handle.net/20.500.11850/85666
dc.identifier.doi
10.3929/ethz-a-010173080
dc.language.iso
en
en_US
dc.publisher
ETH-Zürich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
MACHINE LEARNING (ARTIFICIAL INTELLIGENCE)
en_US
dc.subject
MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ)
en_US
dc.subject
CONVEX PROGRAMMING (OPERATIONS RESEARCH)
en_US
dc.subject
ALGORITHMISCHE KOMPLEXITÄT (MATHEMATIK)
en_US
dc.subject
KONVEXE OPTIMIERUNG (OPERATIONS RESEARCH)
en_US
dc.subject
ALGORITHMIC COMPLEXITY (MATHEMATICS)
en_US
dc.subject
GRAPHENMODELLE (GRAPHENTHEORIE)
en_US
dc.subject
GRAPH MODELS (GRAPH THEORY)
en_US
dc.title
Convex optimization as a building block for difficult problems in machine learning
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2014
ethz.size
1 Band
en_US
ethz.code.ddc
0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.diss
21848
en_US
ethz.identifier.nebis
010173080
ethz.publication.place
Zürich
en_US
ethz.publication.status
published
en_US
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.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science
en_US
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
2017-06-11T09:59:59Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp5936520555ae950085
ethz.identifier.importid
imp59366b5e6c5bc84854
ethz.ecolpid
eth:8737
ethz.ecitpid
pub:134970
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-14T20:46:34Z
ethz.rosetta.lastUpdated
2018-11-05T23:17:44Z
ethz.rosetta.versionExported
true
ethz.COinS
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