Robotics & Machine Learning Daily News2024,Issue(Apr.18) :51-52.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.18) :51-52.

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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Abstract

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.”

Key words

Changsha/People’s Republic of China/As ia/Emerging Tech-nologies/Machine Learning/Support Vector Machines/Vector Mac hines/Changsha University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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