首页|Investigators from University of Turku Report New Data on Machine Learning (Addr essing Imbalanced Data for Machine Learning Based Mineral Prospectivity Mapping)
Investigators from University of Turku Report New Data on Machine Learning (Addr essing Imbalanced Data for Machine Learning Based Mineral Prospectivity Mapping)
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 reportingfrom Turku, Finland, by NewsRx jour nalists, research stated, “Effective Mineral Prospectivity Mapping(MPM) relies on the ability of Machine Learning (ML) models to extract meaningful patterns fr omgeophysical data. However, in mineral exploration, identifying the presence o f mineral deposits is often arare event compared with the overall geological la ndscape.”
TurkuFinlandEuropeCyborgsEmergin g TechnologiesMachine LearningUniversity of Turku
NETL
NSTL
