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A scoring function for learning Bayesian networks based on mutual information and conditional independence tests
dc.contributor.author | Campos Ibáñez, Luis Miguel | |
dc.date.accessioned | 2014-07-18T08:37:18Z | |
dc.date.available | 2014-07-18T08:37:18Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Campos, L.M. A scoring function for learning Bayesian networks based on mutual information and conditional independence tests. Journal of Machine Learning Research, 7: 2149-2187 (2006). [http://hdl.handle.net/10481/32709] | es_ES |
dc.identifier.issn | 1532-4435 | |
dc.identifier.uri | http://hdl.handle.net/10481/32709 | |
dc.description.abstract | We propose a new scoring function for learning Bayesian networks from data using score+search algorithms. This is based on the concept of mutual information and exploits some well-known properties of this measure in a novel way. Essentially, a statistical independence test based on the chi-square distribution, associated with the mutual information measure, together with a property of additive decomposition of this measure, are combined in order to measure the degree of interaction between each variable and its parent variables in the network. The result is a non-Bayesian scoring function called MIT (mutual information tests) which belongs to the family of scores based on information theory. The MIT score also represents a penalization of the Kullback-Leibler divergence between the joint probability distributions associated with a candidate network and with the available data set. Detailed results of a complete experimental evaluation of the proposed scoring function and its comparison with the well-known K2, BDeu and BIC/MDL scores are also presented. | es_ES |
dc.description.sponsorship | I would like to acknowledge support for this work from the Spanish ‘Consejería de Innovación Ciencia y Empresa de la Junta de Andalucía’, under Project TIC-276. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MIT Press | es_ES |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | es_ES |
dc.subject | Bayesian networks | es_ES |
dc.subject | Scoring functions | es_ES |
dc.subject | Learning | es_ES |
dc.subject | Mutual information | es_ES |
dc.subject | Conditional independence tests | es_ES |
dc.title | A scoring function for learning Bayesian networks based on mutual information and conditional independence tests | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |