Robotics & Machine Learning Daily News2024,Issue(Oct.24) :7-7.

Researchers from Shenzhen University Describe Findings in Computational Intellig ence (Possibilistic Neighborhood Graph: a New Concept of Similarity Graph Learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :7-7.

Researchers from Shenzhen University Describe Findings in Computational Intellig ence (Possibilistic Neighborhood Graph: a New Concept of Similarity Graph Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented. According to news reporting origin ating in Shenzhen, People’s Republic of China, by NewsRx journalists, research s tated, “Adaptive graph-based representation and learning methods have received e xtensive attention due to their good performance in supervised and unsupervised learning tasks. These methods often involve probability constraint, i.e., the su m-to-one constraint, when learning a similarity graph.” Funders for this research include Guangdong Basic and Applied Basic Research Fou ndation, National Natural Science Foundation of China (NSFC), Shenzhen Science and Technology Program, Natural Science Key Foundation of Jiangsu Education Depar tment.

Key words

Shenzhen/People’s Republic of China/Asia/Computational Intelligence/Emerging Technologies/Graph Learning/Machine L earning/Shenzhen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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