Robotics & Machine Learning Daily News2024,Issue(Feb.27) :17-17.DOI:10.1016/j.artint.2023.104059

Report Summarizes Machine Learning Study Findings from Nan- jing University (Exploratory Machine Learning With Unknown Un- knowns)

Robotics & Machine Learning Daily News2024,Issue(Feb.27) :17-17.DOI:10.1016/j.artint.2023.104059

Report Summarizes Machine Learning Study Findings from Nan- jing University (Exploratory Machine Learning With Unknown Un- knowns)

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Abstract

2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “In conventional supervised learning, a training dataset is given with ground -truth labels from a known label set, and the learned model will classify unseen instances to known labels. This paper studies a new problem setting in which there are unknown classes in the training data misperceived as other labels, and thus their existence appears unknown from the given supervision.”

Key words

Nanjing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Nanjing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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