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Байесовские сети в технологиях интеллектуального анализа данных
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UDC: 62-50
Publication Language: Ukrainian
Stuc. intelekt. 2010; 15(2):104-113
Abstract: A review is proposed of structural learning for Bayesian networks (BN). It is shown that today exists a wide set of structural learning methods for BN as well as optimization criteria that could be used for learning. That is why the selection of a learning method should be based on profound analysis of the problem to be solved by BN and the possibility of obtaining truthful expert and statistical data.
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