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dc.contributor.authorVerdegay López, Juan Francisco
dc.contributor.authorMoral Callejón, Serafín
dc.date.accessioned2007-10-01T08:40:35Z
dc.date.available2007-10-01T08:40:35Z
dc.date.issued2001
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/3599
dc.description.abstractThis paper studies the problem of marginalizing convex polytopes of probabilities represented by a set of constraints. This marginalization is obtained as a special case of projection on a specific subspace. An algorithm that projects a convex polytope on any subspace has been built and the expression of the subspace, where the projection must be made for obtaining the marginalization, has been calculated.
dc.format.extent93-112
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing . 2001 Vol. 8 Núm. 2
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherApproximate reasoning
dc.subject.otherKnowledge representation
dc.subject.otherUncertainty
dc.subject.otherCapacities of order-2
dc.titleMarginalization like a projection
dc.typeArticle
dc.subject.lemacIntel·ligència artificial
dc.subject.amsClassificació AMS::68 Computer science::68T Artificial intelligence
dc.rights.accessOpen Access


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