首页|Studies from Changsha University of Science and Technology in theArea of Suppor t Vector Machines Described (Fast Support Vector Machine With Low-computational Complexity for Large-scale Classification)
Studies from Changsha University of Science and Technology in theArea of Suppor t Vector Machines Described (Fast Support Vector Machine With Low-computational Complexity for Large-scale Classification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Support Vector Machines. According to newsreporting from Changsha, People’s Rep ublic of China, by NewsRx journalists, research stated, “Supportvector machine (SVM) is a popular supervised machine learning classifier and has found extensiv e appliedin many fields, including biological sciences, disease detection, heal th and clinical sciences, cancer classification,and more. However, the major ch allenge faced by SVM is its high-computational complexity,which becomes a bottl eneck for large-scale SVM.”
ChangshaPeople’s Republic of ChinaAs iaEmerging Tech-nologiesMachine LearningSupport Vector MachinesVector Mac hinesChangsha University of Science and Technology
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