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SVM (support vector machine) is an important tool of solving the nonlinear problem. This paper introduces the methods of constructing support vector stepwise regression - starting from the multiple linear regression model of the sample subset to search the support vectors. It provides a speedy algorithm of support vector stepwise regression with the aim of decreasing the size of the kernel matrix...
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