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Chapter and Conference Paper
Novel Topic Models for Parallel Topics Extraction from Multilingual Text
In this work, we propose novel topic models to extract topics from multilingual documents. We add more flexibility to conventional LDA by relaxing some constraints in its prior. We apply other alternative prio...
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Chapter and Conference Paper
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data
In this paper, we develop the predictive distribution of the generalized inverted Dirichlet (GID) mixture model using local variational inference. The main goal is to be able to tackle classification problems ...