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Markov Mixed Membership Models
We present a Markov mixed membership model (Markov M3) for grouped data that learns a fully connected graph structure among mixing components. A key feature of Markov M3 is that it interprets the mixed membership assignment as a Markov random walk over this graph of nodes. This is in contrast to tree-structured models in which the assignment is done according to a tree structure on the mixing c...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2003
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.0731829100