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Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa.

, , , , , , , , , , and . AAAI, page 644-650. AAAI Press, (2015)

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Tradeoffs in the Complexity of Backdoor Detection., , and . CP, volume 4741 of Lecture Notes in Computer Science, page 256-270. Springer, (2007)Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search., , and . Ann. Math. Artif. Intell., 70 (4): 399-431 (2014)Learning policies for battery usage optimization in electric vehicles., , , and . Mach. Learn., 92 (1): 177-194 (2013)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)A Bayesian Approach to Tackling Hard Computational Problems, , , , , and . CoRR, (2013)Learning Policies for Battery Usage Optimization in Electric Vehicles., , , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 195-210. Springer, (2012)Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning., , and . Logical Methods in Computer Science, (2007)LP as a Global Search Heuristic Across Different Constrainedness Regions., and . CP, volume 3709 of Lecture Notes in Computer Science, page 853. Springer, (2005)Computing the Density of States of Boolean Formulas., , and . CP, volume 6308 of Lecture Notes in Computer Science, page 38-52. Springer, (2010)The Cardinality Matrix Constraint., and . CP, volume 3258 of Lecture Notes in Computer Science, page 572-587. Springer, (2004)