Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31414
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHannula, Miika-
dc.contributor.authorHirvonen, Asa-
dc.contributor.authorKontinen, Juha-
dc.contributor.authorKulikov, Vadim-
dc.contributor.authorVIRTEMA, Jonni-
dc.date.accessioned2020-07-06T09:46:33Z-
dc.date.available2020-07-06T09:46:33Z-
dc.date.issued2019-
dc.date.submitted2020-07-06T07:37:31Z-
dc.identifier.citationCalimeri, Francesco; Leone, Nicola; Manna, Marco (Ed.). Logics in Artificial Intelligence JELIA 2019, SPRINGER INTERNATIONAL PUBLISHING AG, p. 304 -320-
dc.identifier.isbn9783030195700-
dc.identifier.isbn9783030195694-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/31414-
dc.description.abstractWe study probabilistic team semantics which is a semantical framework allowing the study of logical and probabilistic dependencies simultaneously. We examine and classify the expressive power of logical formalisms arising by different probabilistic atoms such as conditional independence and different variants of marginal distribution equivalences. We also relate the framework to the first-order theory of the reals and apply our methods to the open question on the complexity of the implication problem of conditional independence.-
dc.description.sponsorshipAcademy of FinlandAcademy of Finland [308712, 285203]-
dc.language.isoen-
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG-
dc.relation.ispartofseriesLecture Notes in Artificial Intelligence (LNCS)-
dc.rightsSpringer Nature Switzerland AG 2019.-
dc.subject.otherTeam semantics-
dc.subject.otherProbabilistic logic-
dc.subject.otherConditional independence-
dc.titleFacets of Distribution Identities in Probabilistic Team Semantics-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsCalimeri, Francesco-
local.bibliographicCitation.authorsLeone, Nicola-
local.bibliographicCitation.authorsManna, Marco-
local.bibliographicCitation.conferencedateMAY 07-11, 2019-
local.bibliographicCitation.conferencename16th European Conference on Logics in Artificial Intelligence (JELIA)-
local.bibliographicCitation.conferenceplaceRende, ITALY-
dc.identifier.epage320-
dc.identifier.spage304-
dc.identifier.volume11468-
local.bibliographicCitation.jcatC1-
dc.description.notesVirtema, J (reprint author), Hasselt Univ, Hasselt, Belgium.-
dc.description.notesmiika.hannula@helsinki.fi; asa.hirvonen@helsinki.fi;-
dc.description.notesjuha.kontinen@helsinki.fi; vadim.kulikov@iki.fi;-
dc.description.notesjonni.virtema@uhasselt.be-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr11468-
dc.identifier.doi10.1007/978-3-030-19570-0_20-
dc.identifier.isiWOS:000492971900020-
dc.identifier.eissn1611-3349-
local.provider.typewosris-
local.bibliographicCitation.btitleLogics in Artificial Intelligence JELIA 2019-
local.uhasselt.uhpubyes-
item.contributorHannula, Miika-
item.contributorHirvonen, Asa-
item.contributorKontinen, Juha-
item.contributorKulikov, Vadim-
item.contributorVIRTEMA, Jonni-
item.fullcitationHannula, Miika; Hirvonen, Asa; Kontinen, Juha; Kulikov, Vadim & VIRTEMA, Jonni (2019) Facets of Distribution Identities in Probabilistic Team Semantics. In: Calimeri, Francesco; Leone, Nicola; Manna, Marco (Ed.). Logics in Artificial Intelligence JELIA 2019, SPRINGER INTERNATIONAL PUBLISHING AG, p. 304 -320.-
item.validationecoom 2020-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
Appears in Collections:Research publications
Show simple item record

SCOPUSTM   
Citations

26
checked on Oct 5, 2025

WEB OF SCIENCETM
Citations

24
checked on Oct 4, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.