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Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biology, and document analysis, among other areas.
Probability models for the NCAA regional basketball tournaments
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More probability models for the NCAA regional basketball tournaments
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E. Meeds, Z. Ghahramani, R. M. Neal, and S. T. Roweis · 2007
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Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
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Probabilistic matrix factorization
R. Salakhutdinov and A. Mnih
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Slice sampling covariance parameters using surrogate data
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