首页|Studies from Kansas State University Reveal New Findings on Machine Learning (Co nstraining Galaxy-halo Connection Using Machine Learning)
Studies from Kansas State University Reveal New Findings on Machine Learning (Co nstraining Galaxy-halo Connection Using Machine Learning)
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 – A new study on Machine Learning is now available. According to news reportingoriginating in Manhattan, Kansas, by New sRx journalists, research stated, “We investigate the potentialof machine learn ing (ML) methods to model small-scale galaxy clustering for constraining Halo Oc cupationDistribution (HOD) parameters. Our analysis reveals that while many ML algorithms report good statisticalfits, they often yield likelihood contours th at are significantly biased in both mean values and variancesrelative to the tr ue model parameters.”
ManhattanKansasUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningKansas St ate University