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- Variable_elimination abstract "Variable elimination (VE) is a simple and general exact inference algorithm in probabilistic graphical models, such as Bayesian networks and Markov random fields. It can be used for inference of maximum a posteriori (MAP) state or estimation of marginal distribution over a subset of variables. The algorithm has exponential time complexity, but could be efficient in practice for the low-treewidth graphs, if the proper elimination order is used.".
- Variable_elimination wikiPageID "39269581".
- Variable_elimination wikiPageLength "2967".
- Variable_elimination wikiPageOutDegree "8".
- Variable_elimination wikiPageRevisionID "596964892".
- Variable_elimination wikiPageWikiLink Bayesian_inference.
- Variable_elimination wikiPageWikiLink Bayesian_network.
- Variable_elimination wikiPageWikiLink Category:Graphical_models.
- Variable_elimination wikiPageWikiLink Graphical_model.
- Variable_elimination wikiPageWikiLink Marginal_distribution.
- Variable_elimination wikiPageWikiLink Markov_random_field.
- Variable_elimination wikiPageWikiLink Maximum_a_posteriori.
- Variable_elimination wikiPageWikiLink Maximum_a_posteriori_estimation.
- Variable_elimination wikiPageWikiLink Probabilistic_graphical_model.
- Variable_elimination wikiPageWikiLink Treewidth.
- Variable_elimination wikiPageWikiLinkText "Variable elimination".
- Variable_elimination wikiPageWikiLinkText "variable elimination".
- Variable_elimination hasPhotoCollection Variable_elimination.
- Variable_elimination wikiPageUsesTemplate Template:Comp-sci-stub.
- Variable_elimination wikiPageUsesTemplate Template:Reflist.
- Variable_elimination wikiPageUsesTemplate Template:Statistics-stub.
- Variable_elimination subject Category:Graphical_models.
- Variable_elimination hypernym Algorithm.
- Variable_elimination type Software.
- Variable_elimination comment "Variable elimination (VE) is a simple and general exact inference algorithm in probabilistic graphical models, such as Bayesian networks and Markov random fields. It can be used for inference of maximum a posteriori (MAP) state or estimation of marginal distribution over a subset of variables. The algorithm has exponential time complexity, but could be efficient in practice for the low-treewidth graphs, if the proper elimination order is used.".
- Variable_elimination label "Variable elimination".
- Variable_elimination sameAs m.0t_cmcl.
- Variable_elimination sameAs Q17140034.
- Variable_elimination sameAs Q17140034.
- Variable_elimination wasDerivedFrom Variable_elimination?oldid=596964892.
- Variable_elimination isPrimaryTopicOf Variable_elimination.