An improved multi-label classification method based on svm with delicate decision boundary

International Journal of Innovative Computing, Information and Control

Volumn 6, Issue 4, 2010, Pages 1605-1614

  Chen, Benhui ^a   Ma, Liangpeng ^a   Hu, Jinglu ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

Delicate decision boundary; Multi label classification; Probabilistic outputs of SVM; Support vector machine

Indexed keywords

BENCHMARK DATASETS; BINARY SVM; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; DECISION BOUNDARY; LEARNING PROCEDURES; MULTI-LABEL; MULTICLASS CLASSIFICATION PROBLEMS; NOVEL METHODS; PERFORMANCE OF CLASSIFIER; PROBABILISTIC OUTPUT; PROBABILISTIC OUTPUTS OF SVM; SAMPLE SPACE; TRAINING SAMPLE;

CLASSIFIERS; LABELS; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

EID: 77951861159     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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