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Kernel Parameter Selection for SVM Classification

Published in IGI Global eBooks • Jan 18, 2011
NobleIDNI9P17W38R55S68
Authors:
Manju Bala
,
R. K. Agrawal

Abstract

The choice of kernel function and its parameter is very important for better performance of support vector machine. In this chapter, the authors proposed few new kernel functions which satisfy the Mercer’s conditions and a robust algorithm to automatically determine the suitable kernel function and ...

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