Empirical Confidence Models for Supervised Machine Learning

von Castro, Margarita P.
Veröffentlicht in Canadian Conference on Artificial Intelligence (33. : 2020 : Online) Advances in Artificial Intelligence (2020)

An MDD-based Lagrangian approach to the multicommodity pickup-and-delivery TSP

von Castro, Margarita P.
Veröffentlicht in Institute for Operations Research and the Management Sciences INFORMS journal on computing (2020)

Relaxed BDDs: An Admissible Heuristic for Delete-Free Planning Based on a Discrete Relaxation

von Castro, Margarita P.
Veröffentlicht in International Conference on Automated Planning and Scheduling (29. : 2019 : Berkeley, Calif.) Proceedings of the Twenty-ninth International Conference on Automated Planning and Scheduling (2019)

Compiling Optimal Numeric Planning to Mixed Integer Linear Programming

von Piacentini, Chiara
Veröffentlicht in International Conference on Automated Planning and Scheduling (28. : 2018 : Delft) Proceedings of the Twenty-eighth International Conference on Automated Planning and Scheduling (2018)

LM-CUT AND OPERATOR COUNTING HEURISTICS FOR OPTIMAL NUMERIC PLANNING WITH SIMPLE CONDITIONS

von Kuroiwa, Ryo
Veröffentlicht in International Conference on Automated Planning and Scheduling (31. : 2021 : Online) Thirty-first International Conference on Automated Planning and Scheduling (ICAPS 2021) (2021)