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Support vector machine (SVM) can be seen as, a special binary classification method. The original model is a quadratical programming with linear inequalities constraints. It is a very important issue that how to get the optimal solution of SVM model. In this paper, a new solution method is proposed. The constraints are moved away from the original optimization model by using the approximation solution...
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