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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 351-355
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.
support vector machine, cost parameter, nonlinear programming, MPEC problem

Y. Li-mei, "Parameter Selection Problems in Support Vector Machine," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 351-355.
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