Robotics & Machine Learning Daily News2024,Issue(MAY.2) :39-40.

Research Conducted at Beijing University of Posts and Telecommunications Has Upd ated Our Knowledge about Support Vector Machines (Improved Twin Support Vector M achine Algorithm and Applications In Classification Problems)

Robotics & Machine Learning Daily News2024,Issue(MAY.2) :39-40.

Research Conducted at Beijing University of Posts and Telecommunications Has Upd ated Our Knowledge about Support Vector Machines (Improved Twin Support Vector M achine Algorithm and Applications In Classification Problems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Support Vecto r Machines. According to news originating fromBeijing, People’s Republic of Chi na, by NewsRx correspondents, research stated, “The distribution of datahas a s ignificant impact on the results of classification. When the distribution of one class is insignificantcompared to the distribution of another class, data imba lance occurs.”

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines/Beijing University of Posts and Telecommunications

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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