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Tackling Climate Change with Machine Learning

, , , , , , , , , , , , , , , , , , , , , и . ACM Comput. Surv., (февраля 2022)
DOI: 10.1145/3485128

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Sabine Carland

Fernanda Ramos Gomes

Ana Maria Gomes Capelo Carregal Queirós

Virginia Gomes dos Santos

Jessica Gomes-Jelonek

 

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A Bayesian Approach to Tackling Hard Computational Problems, , , , , и . Proceedings of the 17th Conference on Uncertainty and Artificial Intelligence, Seattle, WA, August 2001, стр. 235--244. Morgan Kaufmann, San Francisco, CA, (2000)Algorithm portfolios, и . Artif. Intell., 126 (1-2): 43--62 (2001)Probabilistic planning with non-linear utility functions and worst-case guarantees., , , и . AAMAS, стр. 965-972. IFAAMAS, (2012)Learning Policies for Battery Usage Optimization in Electric Vehicles., , , и . ECML/PKDD (2), том 7524 из Lecture Notes in Computer Science, стр. 195-210. Springer, (2012)Low-density Parity Constraints for Hashing-Based Discrete Integration., , , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 271-279. JMLR.org, (2014)The Cardinality Matrix Constraint., и . CP, том 3258 из Lecture Notes in Computer Science, стр. 572-587. Springer, (2004)LP as a Global Search Heuristic Across Different Constrainedness Regions., и . CP, том 3709 из Lecture Notes in Computer Science, стр. 853. Springer, (2005)Computing the Density of States of Boolean Formulas., , и . CP, том 6308 из Lecture Notes in Computer Science, стр. 38-52. Springer, (2010)QBF Modeling: Exploiting Player Symmetry for Simplicity and Efficiency., , , , и . SAT, том 4121 из Lecture Notes in Computer Science, стр. 382-395. Springer, (2006)Statistical Regimes Across Constrainedness Regions., , , и . CP, том 3258 из Lecture Notes in Computer Science, стр. 32-46. Springer, (2004)