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Topic models have the potential to improve search and browsing by extracting useful semantic themes from web pages and other text documents. When learned topics are coherent and interpretable, they can be valuable for faceted browsing, results set ...
Hierarchical modeling and reasoning are fundamental in ma- chine intelligence, and for this the two-parameter Poisson-Dirichlet Pro- cess (PDP) plays an important role. The most popular MCMC sampling algorithm for the hierarchical PDP and hierarchical ...