Description: Kernel function is the use of support vector machine to resolve the issue can not be separated from the introduction of a nonlinear transform means. Basic idea is to adoption of non-linear transform, so that after changing the characteristics of the sample space become linearly separable. And the use of linear time-structure optimal hyperplane method of implementation in the feature space for solving the optimal hyperplane.
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- [mathmodel] - This a good model to study the informati
- [quadprog] - function [X, fval, exitflag, output, lam
- [Hilbert-Huang] - Hilbert-Huang Transformmatlab procedures
- [0701907v3[1]] - Kernel methods in machine learing
File list (Check if you may need any files):
@polynomial
...........\char.m
...........\display.m
...........\evaluate.m
...........\polynomial.m
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