Active learning for online bayesian matrix factorization

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2012, Pages 325-333

  Silva, Jorge ^a   Carin, Lawrence ^a  

^a Duke University   (United States)

Author keywords

matrix factorization; online learning

Indexed keywords

ACTIVE LEARNING; BAYESIAN APPROACHES; COLLABORATIVE FILTERING; COMPUTATIONAL EFFORT; COMPUTATIONALLY EFFICIENT; DATA SETS; ESTIMATION QUALITY; FUTURE OBSERVATIONS; MATRIX ELEMENTS; MATRIX FACTORIZATIONS; MODEL INFERENCE; MUTUAL INFORMATIONS; NEAR-OPTIMAL ALGORITHMS; ON-LINE SETTING; ONLINE LEARNING; ONLINE MATRIX; STATISTICAL MODELS; SUBMODULARITY; VARIATIONAL BAYES;

BAYESIAN NETWORKS; DATA MINING; SIGNAL FILTERING AND PREDICTION;

E-LEARNING;

EID: 84866005768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339584     Document Type: Conference Paper

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