Robotics & Machine Learning Daily News2024,Issue(Jan.10) :8-9.

New Machine Learning Findings Has Been Reported by Investigators at Shanghai University (Mic-shap: an Ensemble Feature Selection Method for Materials Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jan.10) :8-9.

New Machine Learning Findings Has Been Reported by Investigators at Shanghai University (Mic-shap: an Ensemble Feature Selection Method for Materials Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting fromShanghai, People’s Republic of China, by NewsRx journalists, research stated, “Feature selection has keptplaying a significant role in the workflow of materials machine learning, but currently most of works ofmaterials machine learning tend to use single or stepwise feature selection methods. A new ensemblefeature selection method named MIC-SHAP was proposed in this work, which combines the SHapleyAdditive exPlanations (SHAP) method and the maximal information coefficient (MIC) method.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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