Abstract
Naive Bayes classifiers tend to perform very well on a large number
of problem domains, although their representation power is quite limited
compared to more sophisticated machine learning algorithms. In this pa-
per we study combining multiple naive Bayes classifiers by using the hierar-
chical mixtures of experts system. This system, which we call
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