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dc.contributor.author
Schulz, Eric
dc.contributor.author
Speekenbrink, Maarten
dc.contributor.author
Krause, Andreas
dc.date.accessioned
2018-06-22T14:48:52Z
dc.date.available
2018-06-08T07:18:20Z
dc.date.available
2018-06-08T09:44:03Z
dc.date.available
2018-06-22T14:48:52Z
dc.date.issued
2018-08
dc.identifier.other
10.1016/j.jmp.2018.03.001
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/268630
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Gaussian process regression
en_US
dc.subject
Active learning
en_US
dc.subject
Exploration–exploitation
en_US
dc.subject
Bandit problems
en_US
dc.title
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
en_US
dc.type
Journal Article
dc.date.published
2018-05-26
ethz.journal.title
Journal of Mathematical Psychology
ethz.journal.volume
85
en_US
ethz.pages.start
1
en_US
ethz.pages.end
16
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
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::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
2018-06-08T07:18:37Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-06-22T14:48:55Z
ethz.rosetta.lastUpdated
2019-02-03T03:28:53Z
ethz.rosetta.versionExported
true
ethz.COinS
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