Changes between Version 5 and Version 6 of MatrixFactorization
 Timestamp:
 05/10/11 14:33:25 (3 years ago)
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MatrixFactorization
v5 v6 31 31 === pmf === 32 32 Probabilistic MF. Model which scales linearly with the number of observations and performs well on large, sparse, imbalanced datasets.[[BR]] 33 Reference: (Salakhutdinov, 200 8).33 Reference: (Salakhutdinov, 2007). 34 34 35 35 === psmf === … … 108 108 * PascualMontano, A., Carazo, J. M., Kochi, K., Lehmann, D., PascualMarqui, R. D. Nonsmooth nonnegative matrix factorization (nsnmf). IEEE transactions on pattern analysis and machine intelligence, 2006 28(3), 403415. 109 109 * Wang, Y., Turk, M. Fisher nonnegative matrix factorization for learning local features, 2004. 110 * Salakhutdinov, R., Mnih, A. Probabilistic Matrix Factorization Learning, ICML, 2008.110 * Salakhutdinov, R., Mnih, A. Probabilistic Matrix Factorization. Advances in Neural Information Processing Systems 20 (NIPS 2007). 111 111 * Sra, S., Dhillon, I. S. Nonnegative Matrix Approximation : Algorithms and Applications. SciencesNew York, 2006, 136. 112 112 * Zhiyong Shen, Liang Du, Xukun Shen, Yidong Shen, Intervalvalued Matrix Factorization with Applications, Data Mining, IEEE International Conference on, pp. 10371042, 2010 IEEE International Conference on Data Mining, 2010.