Robotics & Machine Learning Daily News2024,Issue(Jan.16) :56-56.

New Findings in Support Vector Machines Described from Changsha University of Science and Technology (A New Fast Admm for Kernelless Svm Classifier With Truncated Fraction Loss)

Robotics & Machine Learning Daily News2024,Issue(Jan.16) :56-56.

New Findings in Support Vector Machines Described from Changsha University of Science and Technology (A New Fast Admm for Kernelless Svm Classifier With Truncated Fraction Loss)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Support Vector Machines are presented in a newreport. According to news originating from Changsha, People’s Republic of China, by NewsRx correspondents,research stated, “Support vector machine (SVM) is one of well-known supervised machine learningclassifier and is used widely in image classification, pattern recognition, disease diagnosis, etc. However,the high computational complexity is a major issue for large-scale classification problems.”

Key words

Changsha/People’s Republic of China/Asia/Machine Learning/Support Vector Machines/Changsha University of Science and Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文