首页|Data on Support Vector Machines Reported by Researchers at Chongqing Normal Univ ersity (Sparse L 0-norm Least Squares Support Vector Machine With Feature Selection)
Data on Support Vector Machines Reported by Researchers at Chongqing Normal Univ ersity (Sparse L 0-norm Least Squares Support Vector Machine With Feature Selection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Su pport Vector Machines. According to news reporting originating in Chongqing, Peo ple's Republic of China, by NewsRx journalists, research stated, “Least squares support vector machine (LSSVM) is a powerful classification tool based on hyperp lanes. But the classical LSSVM does not perform well on small sample size data s ets (SSS) because it lacks feature selection capability.”
ChongqingPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Ma chinesChongqing Normal University
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