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Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500-hPa Geopotential Height From Historical Weather Data

, , and . Journal of Advances in Modeling Earth Systems, 11 (8): 2680--2693 (2019)\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019MS001705.
DOI: 10.1029/2019MS001705

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Bridging the Lexical Chasm: Statistical Approaches to Answer-Finding, , , , , and . In Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, (2000)Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data., , , , , and . PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 534-551. Springer, (2021)Active Learning with Model Selection., , and . AAAI, page 1673-1679. AAAI Press, (2014)Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping., , and . NIPS, page 402-408. MIT Press, (2000)Using multiple samples to learn mixture models., , and . NIPS, page 324-332. (2013)NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning., , and . ICLR, OpenReview.net, (2022)Biases in the Crossover Landscape., , and . ICGA, page 10-19. Morgan Kaufmann, (1989)Improving Classification with Pairwise Constraints: A Margin-Based Approach., and . ECML/PKDD (2), volume 5212 of Lecture Notes in Computer Science, page 113-124. Springer, (2008)On Feature Selection, Bias-Variance, and Bagging., and . ECML/PKDD (2), volume 5782 of Lecture Notes in Computer Science, page 144-159. Springer, (2009)Multitask pattern recognition for autonomous robots., and . IROS, page 13-18. IEEE, (1998)