Information-geometric approach to inferring causal directions

dc.contributor.author	Janzing, Dominik
dc.contributor.author	Zhang, Kun
dc.contributor.author	Zscheischler, Jakob
dc.contributor.author	Schölkopf, Bernhard
dc.date.accessioned	2014-04-16T14:13:12Z
dc.date.available	2014-04-16T14:13:12Z
dc.date.issued	2012
dc.identifier.issn	0004-3702
dc.identifier.uri	http://hdl.handle.net/10900/51581
dc.language.iso	en	en
dc.publisher	Elsevier Science Bv	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.artint.2012.01.002	de_DE
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.ddc	004	de_DE
dc.title	Information-geometric approach to inferring causal directions	de_DE
dc.type	Article	de_DE
utue.quellen.id	20140226071329_02513	de_DE
utue.publikation.seiten	1-31	de_DE
utue.personen.roh	Janzing, Dominik
utue.personen.roh	Mooij, Joris
utue.personen.roh	Zhang, Kun
utue.personen.roh	Lemeire, Jan
utue.personen.roh	Zscheischler, Jakob
utue.personen.roh	Daniusis, Povilas
utue.personen.roh	Steudel, Bastian
utue.personen.roh	Schoelkopf, Bernhard
dcterms.isPartOf.ZSTitelID	Artificial Intelligence	de_DE
dcterms.isPartOf.ZS-Volume	182	de_DE

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