LaCova: A tree-based multi-label classifier using label covariance as splitting criterion

Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014

Volumn , Issue , 2014, Pages 74-79

  Al Otaibi, Reem ^a,b   Kull, Meelis ^a   Flach, Peter ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

covariance matrix; decision trees; multi label learning; splitting criteria

Indexed keywords

ARTIFICIAL INTELLIGENCE; BINARY TREES; CLASSIFICATION (OF INFORMATION); COVARIANCE MATRIX; DECISION TREES; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATRIX ALGEBRA;

BASELINE METHODS; BINARY RELEVANCES; DIVIDE-AND-CONQUER APPROACH; LABEL DEPENDENCIES; LABEL DISTRIBUTION; MULTI-LABEL LEARNING; SPLITTING CRITERION; SUPERVISED LEARNING PROBLEMS;

TREES (MATHEMATICS);

EID: 84946687573     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2014.17     Document Type: Conference Paper

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