首页|Report Summarizes Machine Learning Study Findings from Nan- jing University (Exploratory Machine Learning With Unknown Un- knowns)
Report Summarizes Machine Learning Study Findings from Nan- jing University (Exploratory Machine Learning With Unknown Un- knowns)
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NETL
NSTL
Elsevier
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.”
NanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanjing University
NETL
NSTL
Elsevier
