A composite likelihood view for multi-label classification

Journal of Machine Learning Research

Volumn 22, Issue , 2012, Pages 1407-1415

  Zhang, Yi ^a   Schneider, Jeff ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SAMPLING;

COMPOSITE LIKELIHOOD; DECOMPOSITION METHODS; EMPIRICAL STUDIES; MEAN FIELD APPROXIMATION; MULTI LABEL CLASSIFICATION; NATURAL COMPONENTS; PROBABILISTIC CLASSIFIERS; PROBLEM DECOMPOSITION;

CLASSIFICATION (OF INFORMATION);

EID: 84954201141     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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