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dc.contributor.authorCampos Ibáñez, Luis Miguel 
dc.date.accessioned2022-11-10T08:15:43Z
dc.date.available2022-11-10T08:15:43Z
dc.date.issued1996-12-01
dc.identifier.citationDe Campos, L. M. (1996). Characterizations of decomposable dependency models. Journal of Artificial Intelligence Research, 5, 289-300. DOI: [https://doi.org/10.1613/jair.329]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/77868
dc.description.abstractDecomposable dependency models possess a number of interesting and useful proper- ties. This paper presents new characterizations of decomposable models in terms of in- dependence relationships, which are obtained by adding a single axiom to the well-known set characterizing dependency models that are isomorphic to undirected graphs. We also brie y discuss a potential application of our results to the problem of learning graphical models from data.es_ES
dc.description.sponsorshipSpanish Comisión Interministerial de Ciencia y Tec- nología (CICYT) TIC96-0781es_ES
dc.language.isoenges_ES
dc.publisherAI Access Foundationes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectInteligencia artificial es_ES
dc.subjectArtificial intelligence es_ES
dc.titleCharacterizations of Decomposable Dependency Modelses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1613/jair.329
dc.type.hasVersionVoRes_ES


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