首页|Researchers from University of New Hampshire Publish New Studies and Findings in the Area of Machine Learning (Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning ...)
Researchers from University of New Hampshire Publish New Studies and Findings in the Area of Machine Learning (Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According tonews reporting originating from D urham, New Hampshire, by NewsRx correspondents, research stated,“ABSTRACTThe sp atial structure of local uncertainty of shallow-water satellite-derived bathymet ry(SDB) relative to model type, imagery, and geographical adaptability was exam ined for an area nearKey West, Florida (United States). The model types examine d were a commonly used quasi-empiricallinear regression model and a decision tr ee-based Categorical Boosting (CatBoost) machine learning (ML)model.”
University of New HampshireDurhamNew HampshireUnited StatesNorth and Central AmericaCyborgsEmerging Technolo giesMachine Learning
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