Scalable bayesian low-rank decomposition of incomplete multiway tensors

31st International Conference on Machine Learning, ICML 2014

Volumn 5, Issue , 2014, Pages 3810-3820

  Rai, Piyush ^a   Wang, Yingjian ^a   Guo, Shengbo ^b   Chen, Gary ^b   Dunson, David ^c   Carin, Lawrence ^a  

^a Duke University   (United States)

^b SAMSUNG RESEARCH AMERICA   (United States)

^c Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS;

BAYESIAN ANALYSIS; BAYESIAN FRAMEWORKS; LARGE-SCALE PROBLEM; LOW-RANK DECOMPOSITION; MISSING OBSERVATIONS; REAL-WORLD DATASETS; SAMPLING STRATEGIES; TENSOR DECOMPOSITION;

TENSORS;

EID: 84919783910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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