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Showing 1 to 1 of 1 for “"we will take advantage of this GPU architecture to improve the classification performance of SVM."”.
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Distributed Support Vector Machine With Graphics Processing Units
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) optimization problem. Sequential Minimal Optimization (SMO) is a decomposition-based algorithm which breaks this large QP problem into a series of smallest possible QP problems. However, it …