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Factorisation of Probability Trees and its Applications
dc.contributor.author | Martínez, Irene | |
dc.contributor.author | Moral, Serafín | |
dc.contributor.author | Rodríguez, Carmelo | |
dc.contributor.author | Salmerón Cerdán, Antonio | |
dc.date.accessioned | 2012-05-28T09:47:45Z | |
dc.date.available | 2012-05-28T09:47:45Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 127-134. | es_ES |
dc.identifier.uri | http://hdl.handle.net/10835/1554 | |
dc.description.abstract | Bayesian networks can be seen as a factorisation of a joint probability distribution over a set of variables, based on the conditional independence relations amongst the variables. In this paper we show how it is possible to achieve a finer factorisation decomposing the origninal factors in which some conditions hols. The new ideas can be applied to algorithms able to deal wih factorised probabilistic potentials, as Lazy Propagation, Lazy-Penniless and Importance Sampling. | es_ES |
dc.language.iso | en | es_ES |
dc.source | First European Workshop on Probabilistic Graphical Models (PGM'02) | es_ES |
dc.title | Factorisation of Probability Trees and its Applications | es_ES |
dc.type | info:eu-repo/semantics/report | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |