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Researching smooth support vector machine (SVM) for classification is an active field in data mining. This paper presents a comparison among three smooth SVM classifiers, smooth SVM, 1st-order polynomial smooth SVM and 2nd-order polynomial smooth SVM. Numerical experiments are performed to compare accuracy and computational complexity of these classifiers with linear and nonlinear kernels. This study...
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