Robotics & Machine Learning Daily News2024,Issue(Oct.10) :46-46.

University of Sfax Reports Findings in Machine Learning (MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed)

Robotics & Machine Learning Daily News2024,Issue(Oct.10) :46-46.

University of Sfax Reports Findings in Machine Learning (MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Sfax, Tunisia, by News Rx editors, research stated, “Biomedical relation classification has been signif icantly improved by the application of advanced machine learning techniques on t he raw texts of scholarly publications. Despite this improvement, the reliance o n large chunks of raw text makes these algorithms suffer in terms of generalizat ion, precision, and reliability.”

Key words

Sfax/Tunisia/Africa/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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