TAIGA: a novel dataset for multitask learning of continuous and categorical forest variables from hyperspectral imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3141217
Abstract: The spectral and spatial resolutions of modern optical Earth observation data are continuously increasing. To fully utilize the data, integrate them with other information sources and create applications relevant to real-world problems, extensive training data… read more here.
Keywords: taiga; hyperspectral imagery; dataset; continuous categorical ... See more keywords
Standardization of continuous and categorical covariates in sparse penalized regressions
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221129042
Abstract: In sparse penalized regressions, candidate covariates of different units need to be standardized beforehand so that the coefficient sizes are directly comparable and reflect their relative impacts, which leads to fairer variable selection. However, when… read more here.
Keywords: covariates sparse; standardization continuous; sparse penalized; categorical covariates ... See more keywords