首页|Findings from Northwestern Polytechnic University Provides New Data about Intelligent Systems (Zeroth- and First-order Difference Discrimination for Unsupervised Domain Adaptation)
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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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.”
ShaanxiPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningNorthwestern Polytechnic University
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