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In a SVM classifier, the training speed is sensitive to the quantity of dataset. Therefore, the methodology of choosing some useful data that can decrease the number of training data and accelerate the training speed is usually a topic to be discussed on the SVM data process. The hyperplane of SVM is constructed by a small number of vectors. These vectors, whose locations are distributed in other...
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