首页|New Support Vector Machines Study Findings Have Been Reported from Shandong Tech nology & Business University (Convolution Smoothing and Non-convex Regularization for Support Vector Machine In High Dimensions)
New Support Vector Machines Study Findings Have Been Reported from Shandong Tech nology & Business University (Convolution Smoothing and Non-convex Regularization for Support Vector Machine In High Dimensions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Support Vecto r Machines have been published. According to news reporting originating from Yan tai, People’s Republic of China, by NewsRx correspondents, researchstated, “The support vector machine (SVM) is a well-known statistical learning tool for bina ry classification.One serious drawback of SVM is that it can be adversely affec ted by redundant variables, and researchhas shown that variable selection is cr ucial and necessary for achieving good classification accuracy.”
YantaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machi nesShandong Technology & Business University
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