affiliation not provided to SSRN
forest biomass, Carbon, Machine learning, uncertainty, upscaling, lidar
forest biomass, carbon, machine learning, uncertainty, upscaling, LiDAR
Weather, Project completion times, Distribution estimation, Model selection, Project planning, Forecasting
area of applicability, extrapolation, interpolation, spatial prediction, data density, feature combination
area of applicability, extrapolation, interpolation, spatial prediction, data density, predictive uncertainty
supervised learning, prediction intervals, conformal prediction, local calibration
conformal statistics, classification uncertainty, land-use land-cover, LULC, Image classification
random forest, Tree Proximity, Kernel methods, Quantile regression, Fast Inference, Tabular data