A Divide and Conquer Solver for Kernel Support Vector Machines
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A Divide-and-Conquer Solver for Kernel Support Vector Machines Cho-Jui Hsieh CJHSIEH @ CS . UTEXAS . EDU Si Si SSI @ CS . UTEXAS . EDU Inderjit S. Dhillon INDERJIT @ CS . UTEXAS . EDU Department of Computer Science, The University of Texas, Austin, TX 78721, USA Abstract not linearly separable, kernel SVM uses a kernel trick The kernel support vector machine (SVM) is one to implicitly map samples from input space to a high- of the most widely used...
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Published On:
04/02/2017
Last Updated:
04/02/2017
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