Changes between Version 16 and Version 17 of MatrixFactorization
 Timestamp:
 07/21/11 11:25:09 (3 years ago)
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MatrixFactorization
v16 v17 47 47 === bd === 48 48 Bayesian decomposition. A Bayesian treatment of NMF, based on a normal likelihood and exponential priors, MCMC sampling method (Gibbs) to approximate the posterior density.[[BR]] 49 Reference: (Schmidt, 200 3).49 Reference: (Schmidt, 2009). 50 50 51 51 === icm === 52 52 Bayesian model  Iterated conditional modes (ICM) algorithm. The modes of conditional densities have closed form expressions and ICM algorithm has a low computational cost per iteration. [[BR]] 53 Reference: (Schmidt, 200 3).53 Reference: (Schmidt, 2009). 54 54 55 55 == List of algorithms for matrix factorization initialization (currently). == … … 141 141 * 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. 142 142 * Dueck, D., Morris, Q. D., Frey, B. J. Multiway clustering of microarray data using probabilistic sparse matrix factorization. Bioinformatics (Oxford, England), 21 Suppl 1, 2005, 14451. 143 * Schmidt, M. N., Winther, O., Kai Hansen, L. Bayesian nonnegative matrix factorization. Bayesian Statistics 7 (Oxford), 2003.143 * Schmidt, M. N., Winther, O., Hansen L. K. Bayesian nonnegative matrix factorization, Independent Component Analysis and Signal Separation, International Conference on, 2009. 144 144 * Ochs, M. F., Kossenkov A. V. NIH Public Access. Methods, Methods Enzymol., 2009, 5977. 145 * Z . Zhang, T. Li, C. H. Q. Ding, X. Zhang:Binary Matrix Factorization with Applications. ICDM 2007.145 * Zhang, Z., Li, T., Ding, C. H. Q., Zhang, X. Binary Matrix Factorization with Applications. ICDM 2007. 146 146 * Salakhutdinov, R., Mnih, A. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo. ICML 2008, 880887.