By using the statistical learning theory, support vector machine (SVM) is thought of a new generation of learning machine. The main advantage of SVM is that it can serve better in the processing of small-sample learning problems by the replacement of Experiential Risk Minimization by Structural Risk Minimization. Moreover, SVM can treat a nonlinear learning problem as a linear learning problem since it maps the original data to the kernel space in which we only solve the linear problems. The study of Suppor...
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