On the use of Bernoulli mixture models

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Abstract:

for text classication 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 eorts to other data types. This paper focuses on the application of mixtures of multivariate Bernoulli distributions to binary data. More concretely, a text classication task aimed at improving language modelling for machine translation is considered.

Citations

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On the use of Bernoulli mixture models

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