Factorisation of Probability Trees and its Applications
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...
| Main Authors: | , , , |
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| Format: | info:eu-repo/semantics/report |
| Language: | English |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/10835/1554 |
| _version_ | 1789406747047231488 |
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| author | Martínez, Irene Moral, Serafín Rodríguez, Carmelo Salmerón Cerdán, Antonio |
| author_facet | Martínez, Irene Moral, Serafín Rodríguez, Carmelo Salmerón Cerdán, Antonio |
| author_sort | Martínez, Irene |
| collection | DSpace |
| description | 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. |
| format | info:eu-repo/semantics/report |
| id | oai:repositorio.ual.es:10835-1554 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2012 |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-15542023-04-12T19:40:31Z Factorisation of Probability Trees and its Applications Martínez, Irene Moral, Serafín Rodríguez, Carmelo Salmerón Cerdán, Antonio 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. 2012-05-28T09:47:45Z 2012-05-28T09:47:45Z 2002 info:eu-repo/semantics/report Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 127-134. http://hdl.handle.net/10835/1554 en info:eu-repo/semantics/openAccess First European Workshop on Probabilistic Graphical Models (PGM'02) |
| spellingShingle | Martínez, Irene Moral, Serafín Rodríguez, Carmelo Salmerón Cerdán, Antonio Factorisation of Probability Trees and its Applications |
| title | Factorisation of Probability Trees and its Applications |
| title_full | Factorisation of Probability Trees and its Applications |
| title_fullStr | Factorisation of Probability Trees and its Applications |
| title_full_unstemmed | Factorisation of Probability Trees and its Applications |
| title_short | Factorisation of Probability Trees and its Applications |
| title_sort | factorisation of probability trees and its applications |
| url | http://hdl.handle.net/10835/1554 |
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