首页|Study Findings on Machine Learning Are Outlined in Reports from National Astrono mical Observatories (Efficient identification of broad absorption line quasars u sing dimensionality reduction and machine learning)
Study Findings on Machine Learning Are Outlined in Reports from National Astrono mical Observatories (Efficient identification of broad absorption line quasars u sing dimensionality reduction and 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 Daily News – Investigators publish new report on artificial in telligence. According to news reporting out of Beijing, People’s Republic of Chi na, by NewsRx editors, research stated, “Broad Absorption Line Quasars (BALQSOs) represent a significant phenomenon in the realm of quasar astronomy, displaying distinct blueshifted broad absorption lines.” Financial supporters for this research include National Natural Science Foundati on of China; Alfred P. Sloan Foundation.
National Astronomical ObservatoriesBei jingPeople’s Republic of ChinaAsiaAstronomyCyborgsDimensionality Reduc tionEmerging TechnologiesMachine LearningPhysics