During the last decades, the method of Support Vector Machine (SVM) based on the Statistical Learning Theory became an important research field in machine learning. Different from those traditional algorithms based on empirical risk minimization rule, SVM is based on structural risk minimization rule. So SVM can achieve a good balance between empirical risk and classifier capacity. In addition, SVM has other advantages such as global optimization, excellent adaptability and generalization ability. ...
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