首页|New Findings from University of Milano Bicocca in the Area of Machine Learning D escribed (Fair and Green Hyperparameter Optimization Via Multi-objective and Mul tiple Information Source Bayesian Optimization)
New Findings from University of Milano Bicocca in the Area of Machine Learning D escribed (Fair and Green Hyperparameter Optimization Via Multi-objective and Mul tiple Information Source Bayesian Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Milan, Italy, by NewsRx cor respondents, research stated, “It has been recently remarked that focusingonly on accuracy in searching for optimal Machine Learning models amplifies biases co ntained in the data,leading to unfair predictions and decision supports. Recent ly, multi-objective hyperparameter optimizationhas been proposed to search for Machine Learning models which offer equally Pareto-efficient trade-offsbetween accuracy and fairness.”
MilanItalyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Milano Bicocca
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