首页|Studies from University of Illinois in the Area of Machine Learning Reported (Generalizing Group Fairness In Machine Learning Via Utilities)
Studies from University of Illinois in the Area of Machine Learning Reported (Generalizing Group Fairness In Machine Learning Via Utilities)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news originatingfrom Chicago, Illinois, by NewsRx correspondents, research stated, “Group fairness definitions such asDemographic Parity and Equal Opportunity make assumptions about the underlying decision-problem thatrestrict them to classification problems. Prior work has translated these definitions to other machinelearning environments, such as unsupervised learning and reinforcement learning, by implementing theirclosest mathematical equivalent.”
ChicagoIllinoisUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningReinforcement LearningUniversity of Illinois
NETL
NSTL
