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14

PPSN
2004
Springer

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104views Distributed And Parallel Com...» more PPSN 2004»

A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures

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A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures

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Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models from data, we have previously considered various evolutionary algorithms for searching the space of BN structures directly. In this paper, we explore a simple evolutionary algorithm designed to search the space of BN equivalence classes. We discuss a number of issues arising in this evolutionary context and provide a ﬁrst assessment of the new class of algorithms.

Jorge Muruzábal, Carlos Cotta

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BN Equivalence Classes | Distributed And Parallel Computing | Evolutionary Algorithm | PPSN 2004 | Sensible Bn Models |

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Added	02 Jul 2010
Updated	02 Jul 2010
Type	Conference
Year	2004
Where	PPSN
Authors	Jorge Muruzábal, Carlos Cotta

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