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Hierarchical Topic Models and the Nested Chinese ...

Michael I. Jordan Joshua B. Tenenbaum jordan@cs.berkeley.edu jbt@mit.edu University of California, Berkeley Massachusetts Institute of Technology Berkeley, CA 94720 Cambridge, MA 02139 Abstract We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large

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  Model, Topics, Michael, Hierarchical, Hierarchical topic models and the

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