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Probabilistic regressor chains with Monte Carlo methods., и . Neurocomputing, (2020)A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data., , , , , и . Remote. Sens., 13 (2): 287 (2021)Scalable multi-output label prediction: From classifier chains to classifier trellises., , , и . Pattern Recognit., 48 (6): 2096-2109 (2015)Active emulation of computer codes with Gaussian processes - Application to remote sensing., , и . Pattern Recognit., (2020)Deep importance sampling based on regression for model inversion and emulation., , , и . Digit. Signal Process., (2021)Inference over radiative transfer models using variational and expectation maximization methods., , , , , и . CoRR, (2022)A Survey of Monte Carlo Methods for Parameter Estimation., , , , и . CoRR, (2021)A fast universal self-tuned sampler within Gibbs sampling., , , , и . Digit. Signal Process., (2015)Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models., , , , , и . CoRR, (2020)Physics-aware Gaussian processes in remote sensing., , , , , , , и . Appl. Soft Comput., (2018)