首页|New Findings in Support Vector Machines Described from Changsha University of Science and Technology (A New Fast Admm for Kernelless Svm Classifier With Truncated Fraction Loss)
New Findings in Support Vector Machines Described from Changsha University of Science and Technology (A New Fast Admm for Kernelless Svm Classifier With Truncated Fraction Loss)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Support Vector Machines are presented in a newreport. According to news originating from Changsha, People’s Republic of China, by NewsRx correspondents,research stated, “Support vector machine (SVM) is one of well-known supervised machine learningclassifier and is used widely in image classification, pattern recognition, disease diagnosis, etc. However,the high computational complexity is a major issue for large-scale classification problems.”
ChangshaPeople’s Republic of ChinaAsiaMachine LearningSupport Vector MachinesChangsha University of Science and Technology
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