Fast Parallel SVM using Data Augmentation

24 Dec 2015Hugh PerkinsMinjie XuJun ZhuBo Zhang

As one of the most popular classifiers, linear SVMs still have challenges in dealing with very large-scale problems, even though linear or sub-linear algorithms have been developed recently on single machines. Parallel computing methods have been developed for learning large-scale SVMs... (read more)

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