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Training support vector machines (SVM) consists of solving a convex quadratic problem (QP) with one linear equality and box constraints. In this paper, we solve this QP by a primal–dual approach that combines the adaptive method with an interior point method. To initialize the algorithm, a procedure of an interior point method is used to construct an initial support. The proposed approach provides...
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