Efficient model selection for support vector machine with gaussian kernel function

2009 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009 - Proceedings

Volumn , Issue , 2009, Pages 40-45

  Tang, Yaohua ^a   Guo, Weimin ^a   Gao, Jinghuai ^b  

^a STATE GRID HENAN ELECTRIC POWER RESEARCH INSTITUTE   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ABILITY; COMPLEX PARAMETER; CONVERGENT CHARACTER; CROSS VALIDATION; FEATURE SPACE; GAUSSIAN KERNEL FUNCTIONS; GAUSSIAN KERNELS; GENERALIZATION PERFORMANCE; KERNEL FUNCTION; MACHINE LEARNING METHODS; MODEL SELECTION; NEW PARAMETERS; ONE-DIMENSION; REAL WORLD DATA; REGULARIZATION PARAMETERS; SEARCH STRATEGIES; SIMILARITY MEASUREMENTS;

ARTIFICIAL INTELLIGENCE; FACE RECOGNITION; IMAGE RETRIEVAL; MINING;

SUPPORT VECTOR MACHINES;

EID: 67650469183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2009.4938627     Document Type: Conference Paper

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