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2004
Springer

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