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2009 WRI World Congress on Computer Science and Information Engineering
Parameter Selection Problems in Support Vector Machine
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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, C_0 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.
Index Terms:
support vector machine, cost parameter, nonlinear programming, MPEC problem
Citation:
Yan Li-mei, "Parameter Selection Problems in Support Vector Machine," csie, vol. 4, pp.351-355, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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