Kernel Parameter Selection for SVM Classification
Published in IGI Global eBooks • May 24, 2011
NobleIDNI9P57W58R54S70
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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