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Conference Papers Year : 2010

Independence Model estimation using Artificial Evolution

Olivier Barrière
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Evelyne Lutton
Pierre-Henri Wuillemin

Abstract

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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Dates and versions

hal-00467586 , version 1 (04-05-2010)

Identifiers

  • HAL Id : hal-00467586 , version 1

Cite

Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin. Independence Model estimation using Artificial Evolution. 5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), May 2010, Nantes, France. ⟨hal-00467586⟩
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