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Traditional classification methods, such as neural network approaches, have suffered difficulties with generalization and producing models. Support vector machine (SVM) approach is considered a good candidate because of its high generalization performance without the need to add a priori knowledge, even when the dimension of the input space is very high. In this paper, SVM approach is proposed to...
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