New empirical nonparametric kernels for support vector machine classification

Applied Soft Computing Journal

Volumn 13, Issue 4, 2013, Pages 1759-1765

  Daoud, Essam Al ^a   Turabieh, Hamza ^a  

^a ZARQA UNIVERSITY   (Jordan)

Author keywords

Classification; Inner product; Kernel; Positive semidefinite matrix; SVM

Indexed keywords

EFFICIENT KERNELS; GAUSSIAN KERNELS; INNER PRODUCT; KERNEL; KERNEL FUNCTION; KERNEL METHODS; METRIC SPACES; NON-PARAMETRIC; OPTIMUM PARAMETERS; POSITIVE SEMIDEFINITE MATRICES; REAL-WORLD DATASETS; SUPPORT VECTOR MACHINE (SVMS); SUPPORT VECTOR MACHINE CLASSIFICATION; SVM; SYNTHETIC DATASETS;

CLASSIFICATION (OF INFORMATION); SOFT COMPUTING; SOFTWARE ENGINEERING;

SUPPORT VECTOR MACHINES;

EID: 84873646501     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.01.010     Document Type: Article

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