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Learning Parameters in Discrete Naive Bayes Models by Computing Fibers of the Parametrization map
Vincent Auvray , Louis Wehenkel
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Oznake: computer science;machine learning;bayesian learning
Discrete Naive Bayes models are usually defined parametrically with a map from a parameter space to a probability distribution space. First, we present two families of algorithms that compute the set of parameters mapped to a given discrete Naive Bayes distribution satisfying certain technical assum ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 1
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