ویراساینس.
سند علمی

On the use of Bernoulli mixture models for text classi$cation

A. Juan, E. Vidal

چکیده

Mixture modelling of class-conditional densities is a standard pattern recognition technique. Although most research on mixture models has concentrated on mixtures for continuous data, emerging pattern recognition applications demand extending research e/orts to other data types. This paper focuses on the application of mixtures of multivariate Bernoulli distributions to binary data. More concretely, a text classi$cation task aimed at improving language modelling for machine translation is considered. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

اسناد مشابه

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