Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems

19 Jun 2014Jeyanthi NarasimhanAbhinav VishnuLawrence HolderAdolfy Hoisie

Support Vector Machines (SVM), a popular machine learning technique, has been applied to a wide range of domains such as science, finance, and social networks for supervised learning. Whether it is identifying high-risk patients by health-care professionals, or potential high-school students to enroll in college by school districts, SVMs can play a major role for social good... (read more)

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