Independence Model estimation using Artificial Evolution
Résumé
In this paper, we consider a Bayesian network structure estimation problem as a two step problem based on an independence model representation. We first perform an evolutionary search for an approximation of an independence model. A deterministic algorithm is then used to deduce a Bayesian network which represents the equivalence class of the independence model. This paper is a shortened version of a paper that has been published in a genetic algorithms conference [2].
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BLW-JFRB2010.pdf (327.66 Ko)
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BLW-JFRB2010-Final.pdf (274.43 Ko)
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