Semi-Supervised Interpolation in an Anticausal Learning Scenario

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dc.contributor.author Janzing, Dominik
dc.contributor.author Schölkopf, Bernhard
dc.date.accessioned 2016-06-08T10:30:19Z
dc.date.available 2016-06-08T10:30:19Z
dc.date.issued 2015
dc.identifier.issn 1532-4435
dc.identifier.uri http://hdl.handle.net/10900/70351
dc.language.iso en de_DE
dc.publisher Microtome Publ de_DE
dc.rights info:eu-repo/semantics/closedAccess
dc.subject.ddc 004 de_DE
dc.subject.ddc 600 de_DE
dc.title Semi-Supervised Interpolation in an Anticausal Learning Scenario de_DE
dc.type Artikel de_DE
utue.quellen.id 20160427062602_01182
utue.publikation.seiten 1923-1948 de_DE
utue.personen.roh Janzing, Dominik
utue.personen.roh Schoelkopf, Bernhard
dcterms.isPartOf.ZSTitelID Journal of Machine Learning Research de_DE
dcterms.isPartOf.ZS-Volume 16 de_DE


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