首页|New Machine Learning Findings Has Been Reported by Investigators at Shanghai University (Mic-shap: an Ensemble Feature Selection Method for Materials Machine Learning)
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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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.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShanghai University
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