Probabilistic tensor factorization and model selection

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Proceedings titleTensors, Kernels, and Machine Learning (TKLM 2010)
ConferenceNIPS 2010 Workshop on Tensors, Kernels, and Machine Learning (TKLM 2010), December 10, 2010, Whistler, British Columbia
Pages14; # of pages: 4
AbstractThe well-known formal equivalence between non-negative matrix factorization and multinomial mixture models extends in a fairly straightforward manner to tensors. Among interesting practical implications of this equivalence, this suggests some principled ways to choose the number of factors in the decomposition. We discuss and illustrate two methods to do this in Positive Tensor Factorization.
Publication date
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedNo
NPARC number16335072
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Record identifiera810c70f-18d4-40dc-a55a-83842f3c98c9
Record created2010-11-10
Record modified2016-05-09
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