Title :
Parameter Selection Problems in Support Vector Machine
Author_Institution :
Math. Dept., Dezhou Univ., Dezhou, China
fDate :
March 31 2009-April 2 2009
Abstract :
In this paper, we present a new SVM model to calculate the optimal value of cost parameter C for particular problems of linearity non-separability of data. A lower bound, positive number, C0 is required to provide for avoiding choosing a candidate set of C. Numerical experiments show that this model for choice of is suitable for solving SVM problems.
Keywords :
support vector machines; parameter selection problem; positive number; support vector machine; Computer science; Cost function; Error correction; Fasteners; Mathematical model; Mathematics; Optimal control; Support vector machine classification; Support vector machines; Training data; MPEC problem; cost parameter; nonlinear programming; support vector machine;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.103
