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The geometric approaches based on reduced convex hull (RCH) are promising methods for solving support vector machine (SVM), which have been the focus of intense theoretical as well as application-oriented research in machine learning. In this paper, two efficient geometric learning algorithms for SVM, termed as DNP-GA and PDNP-GA, are proposed by introducing the direct nearest point-pair and probabilistic...
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