In this paper we propose the type of Bayesian networks that we call the hierarchical Bayesian network (HBN) classifiers. We present algorithms for the construction of the HBN classifiers and test them on the Reuters text categorization test collection
People have been trying to classify and organize information for thousands of years. There are many examples of cataloged items in ancient repositories, including items in the Library of Alexandria in Egypt. Taxonomy arose as an attempt to organize inform
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