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Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization
The finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability.
Infinite Mixture of Inverted Dirichlet Distributions
In this work, we develop a novel Bayesian estimation method for the Dirichlet process (DP) mixture of the inverted Dirichlet distributions, which has been shown to be very flexible for modeling vectors with positive elements.
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