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Fuzzy support vector machines.

IEEE Transactions on Neural Networks, no. 2 (2002): 464-471

被引用829|浏览20
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摘要

A support vector machine (SVM) learns the decision surface from two distinct classes of the input points. In many applications, each input point may not be fully assigned to one of these two classes. In this paper, we apply a fuzzy membership to each input point and reformulate the SVMs such that different input points can make different ...更多

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