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dc.contributor.author
Hauser, Alain
dc.contributor.author
Bühlmann, Peter
dc.date.accessioned
2017-06-11T06:25:44Z
dc.date.available
2017-06-11T06:25:44Z
dc.date.issued
2014-06
dc.identifier.issn
0888-613X
dc.identifier.other
10.1016/j.ijar.2013.11.007
dc.identifier.uri
http://hdl.handle.net/20.500.11850/81953
dc.language.iso
en
dc.publisher
North-Holland
dc.subject
Active learning
dc.subject
Graphical model
dc.subject
Causal inference
dc.subject
Bayesian network
dc.subject
Interventions
dc.title
Two optimal strategies for active learning of causal models from interventional data
dc.type
Journal Article
ethz.journal.title
International journal of approximate reasoning
ethz.journal.volume
55
ethz.journal.issue
4
ethz.journal.abbreviated
Int. j. approx. reason.
ethz.pages.start
926
ethz.pages.end
939
ethz.notes
Published online 9 December 2013.
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
000039879
ethz.publication.place
Amsterdam
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02000 - Departement Mathematik / Department of Mathematics::02537 - Seminar für Statistik (SfS) / Seminar for Statistics (SfS)::03502 - Bühlmann, Peter L.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02000 - Departement Mathematik / Department of Mathematics::02537 - Seminar für Statistik (SfS) / Seminar for Statistics (SfS)::03502 - Bühlmann, Peter L.
ethz.date.deposited
2017-06-11T06:27:14Z
ethz.source
ECIT
ethz.identifier.importid
imp593651be44f4a46513
ethz.ecitpid
pub:129166
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-13T18:45:09Z
ethz.rosetta.lastUpdated
2017-07-13T18:45:09Z
ethz.rosetta.versionExported
true
ethz.COinS
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