首页|Study Findings from University of Toulouse Provide New Insights into Machine Learning (Improving Fairness Generalization Through a Sample-robust Optimization Method)
Study Findings from University of Toulouse Provide New Insights into Machine Learning (Improving Fairness Generalization Through a Sample-robust Optimization Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Toulouse, France, by NewsRx journali sts, research stated, “Unwanted bias is a major concern in machine learning, rai sing in particular significant ethical issues when machine learning models are d eployed within high-stakes decision systems. A common solution to mitigate it is to integrate and optimize a statistical fairness metric along with accuracy dur ing the training phase.”
ToulouseFranceEuropeCyborgsEmerg ing TechnologiesMachine LearningUniversity of Toulouse
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