Constructing belief networks from realis
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Yun Peng; Zonglin Zhou; Sungzoon Cho
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Article
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1999
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John Wiley and Sons
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English
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In this paper, we report our investigation on the behavior of some Bayesian belief network learning methods, when applied to realistic case data that do not accurately reflect the probability distribution of the underlying domain. The investigation focuses on two types of such data of practical inte