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Linear Support Vector Machines(SVMs) have broad application in supervised classification problem with high dimensional feature space, such as text classification, word sense disambiguation, email spam detection and etc.. Considering the large volume of available training data, efficient training algorithm for linear SVMs draws many attention from the research community in recent years. Cutting-plane...
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