Robotics & Machine Learning Daily News2024,Issue(Jan.2) :87-88.

Studies from Hunan Normal University Update Current Data on Machine Learning (Semi-supervised Feature Selection Based On Fuzzy Related Family)

Robotics & Machine Learning Daily News2024,Issue(Jan.2) :87-88.

Studies from Hunan Normal University Update Current Data on Machine Learning (Semi-supervised Feature Selection Based On Fuzzy Related Family)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learning have been published. According to newsoriginating from Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “Currentmachine learning algorithms encounter challenges such as missing labels and high dimensionality. Featureselection serves as an effective dimensionality reduction technique, enhancing the efficiency and accuracyof subsequent machine learning tasks by eliminating irrelevant and redundant features.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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