首页|Recent Findings in Machine Learning Described by Researchers from Chinese Univer sity of Hong Kong Shenzhen (Learning Fair Representations Via Distance Correlati on Minimization)
Recent Findings in Machine Learning Described by Researchers from Chinese Univer sity of Hong Kong Shenzhen (Learning Fair Representations Via Distance Correlati on Minimization)
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 – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Asmachine learn ing algorithms are increasingly deployed for high-impact automated decision-maki ng, thepresence of bias (in datasets or tasks) gradually becomes one of the mos t critical challenges in machinelearning applications. Such challenges range fr om the bias of race in face recognition to the bias of genderin hiring systems, where race and gender can be denoted as sensitive attributes.”
ShenzhenPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningChinese University of Hong Kong Shenzhen
NETL
NSTL
