Feature weighted SVMs using receiver operating characteristics

Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics

Volumn 1, Issue , 2009, Pages 493-504

  Zhang, Shaoyi ^a   Hossain, M Maruf ^a   Hassan, Md Rafiul ^a   Bailey, James ^a   Ramamohanarao, Kotagiri ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Classification; Distance function; Receiver operating characteristics; Support vector machine

Indexed keywords

CLASSIFICATION PERFORMANCE; DATA SETS; DISTANCE FUNCTION; DISTANCE FUNCTIONS; FEATURE WEIGHTING; GENE EXPRESSION DATA; HIGH-DIMENSIONAL FEATURE SPACE; INPUT SPACE; KERNEL FUNCTION; RECEIVER OPERATING CHARACTERISTICS;

FUNCTION EVALUATION; GEARS; GENE EXPRESSION; IMAGE RETRIEVAL; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION;

SUPPORT VECTOR MACHINES;

EID: 72849138148     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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