Changes between Version 14 and Version 15 of MatrixFactorization


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Timestamp:
07/20/11 16:44:22 (3 years ago)
Author:
MarinkaZitnik
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  • MatrixFactorization

    v14 v15  
    1717Reference: (Brunet, 2004). 
    1818 
    19 === s-nmf === 
     19=== s-nmf (s-nmf/r and s-nmf/l) === 
    2020Sparse NMF based on alternating non-negativity constrained least squares, solved by a fast non-negativity constrained least squares. Sparseness imposed on the left, right factor. It is meant to be very fast compared to other approaches. [[BR]] 
    2121Reference: (Kim, 2007). 
     
    3434 
    3535=== pmf === 
    36 Probabilistic MF. Model which scales linearly with the number of observations and performs well on large, sparse, imbalanced datasets.[[BR]] 
     36Probabilistic MF. PMF model scales linearly with the number of observations and performs well on large, sparse, imbalanced datasets.[[BR]] 
    3737Reference: (Salakhutdinov, 2007). 
     38 
     39=== Additional: bpmf === 
     40Bayesian PMF model that implements Gibbs sampler. In Bayesian PMF model capacity is controlled automatically by integrating over all model parameters and hyperparameters. Bayesian PMF can be efficiently trained using MCMC methods. This model achieves significantly higher prediction accuracy than PMF models trained using MAP estimation. This algorithm has been used by winning and top ranked teams in KDD Cup 2011. [[BR]] 
     41Reference: (Salakhutdinov, Mnih, 2008). 
    3842 
    3943=== psmf === 
     
    5357* fixed 
    5458* nndsvd 
     59* pmf 
    5560* algorithm specific 
    5661 
     
    139144 * Ochs, M. F., Kossenkov A. V. NIH Public Access. Methods, Methods Enzymol., 2009, 59--77. 
    140145 * Z. Zhang, T. Li, C. H. Q. Ding, X. Zhang: Binary Matrix Factorization with Applications. ICDM 2007. 
     146 * Salakhutdinov, R., Mnih, A. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo. ICML 2008, 880-887.