Robotics & Machine Learning Daily News2024,Issue(Dec.18) :91-92.

Research Data from South China University of Technology Update Understanding of Machine Learning (Using Semi-supervised Machine Learning To Assist Classificatio n and Recognition of Chinese Vernacular Architecture)

Robotics & Machine Learning Daily News2024,Issue(Dec.18) :91-92.

Research Data from South China University of Technology Update Understanding of Machine Learning (Using Semi-supervised Machine Learning To Assist Classificatio n and Recognition of Chinese Vernacular Architecture)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“In order to const ruct a more refined, comprehensive and systematized classification system for Ch inesevernacular architecture, this paper proposed a classifying method based on semisupervised machine learningusing architecture image data. By adding type l abels based on experts’ prior knowledge as a guide topart of the training sampl es, it allows generalized machine clustering to effectively combine image feature mining with characteristics of special objects.”

Key words

Guangzhou/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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