Robotics & Machine Learning Daily News2024,Issue(Jan.2) :27-28.

Findings from Northwestern Polytechnic University Provides New Data about Intelligent Systems (Zeroth- and First-order Difference Discrimination for Unsupervised Domain Adaptation)

Robotics & Machine Learning Daily News2024,Issue(Jan.2) :27-28.

Findings from Northwestern Polytechnic University Provides New Data about Intelligent Systems (Zeroth- and First-order Difference Discrimination for Unsupervised Domain Adaptation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning - Intelligent Systems. Accordingto news originating from Shaanxi, People’s Republic of China, by NewsRx correspondents, research stated,“Unsupervised domain adaptation transfers empirical knowledge from a label-rich source domain to a fullyunlabeled target domain with a different distribution. A core idea of many existing approaches is to reducethe distribution divergence between domains.”

Key words

Shaanxi/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Northwestern Polytechnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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