Learning Bayesian network parameters fro
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Agnieszka Oniลko; Marek J. Druzdzel; Hanna Wasyluk
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Article
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2001
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Elsevier Science
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English
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Existing data sets of cases can signiยฎcantly reduce the knowledge engineering eort required to parameterize Bayesian networks. Unfortunately, when a data set is small, many conditioning cases are represented by too few or no data records and they do not oer sucient basis for learning conditional pro