首页|Study Results from University of Zurich Broaden Understanding of Machine Learning (Simulation-based Design Optimization for Statistical Power: Utilizing Machine Learning)
Study Results from University of Zurich Broaden Understanding of Machine Learning (Simulation-based Design Optimization for Statistical Power: Utilizing 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 – Research findings on Machine Learning are discussed in a new report. According tonews originating from Zurich, Switzerland, by NewsRx correspondents, research stated, “The planning ofadequately powered research designs increasingly goes beyond determining a suitable sample size. Morechallenging scenarios demand simultaneous tuning of multiple design parameter dimensions and can onlybe addressed using Monte Carlo simulation if no analytical approach is available.”
ZurichSwitzerlandEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Zurich
NETL
NSTL
