A Load-Balancing Divide-and-Conquer SVM Solver

ACM Trans. Embedded Comput. Syst., Volume 16, Issue 3, 2017, Pages 74:1-74:10.

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Abstract:

Scaling up kernel support vector machine (SVM) training has been an important topic in recent years. Despite its theoretical elegance, training kernel SVM is impractical when facing millions of data. The divide-and-conquer (DC) strategy is a natural framework of handling gigantic problems, and the divide-and-conquer solver for kernel SVM ...More

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