首页|Studies from Department of Biostatistics in the Area of Machine Learning Reported (Augmented Transfer Regression Learning With Semi-non-parametric Nuisance Models)
Studies from Department of Biostatistics in the Area of Machine Learning Reported (Augmented Transfer Regression Learning With Semi-non-parametric Nuisance Models)
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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 reportingout of New York City, New York, by NewsRx editors, research stated, “We develop an augmented transferregression learning (ATReL) approach that intro-duces an imputation model to augment the importanceweighting equation to achieve dou-ble robustness for covariate shift correction. More significantly, wepropose a novel semi -non-parametric (SNP) construction framework for the two nuisance models.”
New York CityNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningDepartment of Biostatistics
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