Structure Learning of Bayesian Networks by Genetic Algorithms
作者： P. Larrañaga , M. Poza
DOI: 10.1007/978-3-642-51175-2_35
关键词:
摘要: This paper begins with an introduction to the Bayesian Network paradigm, followed by a brief enumeration of some current approaches in induction structure learning Networks. We will present our approach, one artificial domain two types Genetic Algorithms (Simple, Elitist) using them as optimizers, combination experimental results we have obtained. The closes conclusions and potential further research this field.
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sci-hub.st 参考文章(14)
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