Robotics & Machine Learning Daily News2024,Issue(Aug.1) :60-61.

Reports Outline Support Vector Machines Study Results from Chongqing University of Posts and Telecommunications (Gbsvm: an Efficient and Robust Support Vector M achine Framework Via Granular-ball Computing)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :60-61.

Reports Outline Support Vector Machines Study Results from Chongqing University of Posts and Telecommunications (Gbsvm: an Efficient and Robust Support Vector M achine Framework Via Granular-ball Computing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Support Vector Machines are discussed in a new report. According to newsreporting out of Chongqing, People’ s Republic of China, by NewsRx editors, research stated, “Granular-ballsupport vector machine (GBSVM) is a significant attempt to construct a classifier using the coarse-to-finegranularity of a granular ball as input, rather than a single data point. It is the first classifier whose inputcontains no points.”

Key words

Chongqing/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Support Vector Machine s/Vector Machines/Chongqing 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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