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- W2187913186 abstract "We propose a simple Bayesian network-based text classifier, which may be considered as a discriminative counterpart of the generative multinomial naive Bayes classifier. The method relies on the use of a fixed network topology with the arcs going form term nodes to class nodes, and also on a network parametrization based on noisy or gates. Comparative experiments of the proposed method with naive Bayes and Rocchio algorithms are carried out using three standard document collections." @default.
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- W2187913186 date "2008-01-01" @default.
- W2187913186 modified "2023-09-27" @default.
- W2187913186 title "Or gate Bayesian networks for text classification: A discrimin ative alternative approach to multinomial naive Bayes" @default.
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