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    » Probabilistic Latent Tensor Factorization
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    SDM
    2010
    SIAM
    149views Data Mining» more  SDM 2010»
    Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
    14 years 11 months ago
    Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
    Download  www.cs.cmu.edu
    Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
    Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
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    CSDA
    2008
    128views more  CSDA 2008»
    On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
    14 years 9 months ago
    On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
    Download  ranger.uta.edu
    Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...
    Chris H. Q. Ding, Tao Li, Wei Peng
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    ICML
    2005
    IEEE
    159views Machine Learning» more  ICML 2005»
    Non-negative tensor factorization with applications to statistics and computer vision
    15 years 10 months ago
    Non-negative tensor factorization with applications to statistics and computer vision
    Download  www.cs.huji.ac.il
    We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
    Amnon Shashua, Tamir Hazan
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    UAI
    2004
    134views Artificial Intelligence» more  UAI 2004»
    Convolutional Factor Graphs as Probabilistic Models
    14 years 11 months ago
    Convolutional Factor Graphs as Probabilistic Models
    Download  www.site.uottawa.ca
    Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
    Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
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    CORR
    2010
    Springer
    255views Education» more  CORR 2010»
    Scalable Tensor Factorizations for Incomplete Data
    14 years 9 months ago
    Scalable Tensor Factorizations for Incomplete Data
    Download  csmr.ca.sandia.gov
    The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
    Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
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