-
1Conference
Authors: Schiex, Thomas
Contributors: Schiex, Thomas
Subject Terms: random Markov fields, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], constraint programming, Computing methodologies → Learning graphical models, deep learning, constraint programming, cost function networks, random Markov fields, decision-focused learning, protein design .CP.2023, decision-focused learning, 2012 ACM Subject Classification Computing methodologies → Artificial intelligence, deep learning, 2012 ACM Subject Classification Computing methodologies → Artificial intelligence Computing methodologies → Machine learning Theory of computation → Constraint and logic programming Computing methodologies → Learning graphical models, deep learning, constraint programming, cost function networks, random Markov fields, decision-focused learning, protein design .CP.2023, [INFO] Computer Science [cs], Computing methodologies → Artificial intelligence, [INFO.INFO-BT] Computer Science [cs]/Biotechnology, Computing methodologies → Machine learning, Computing methodologies → Learning in probabilistic graphical models, graphical models, cost function networks, Theory of computation → Constraint and logic programming, protein design, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
File Description: application/pdf
-
2Conference
Authors: Trösser, Fulya, Givry, Simon De, Katsirelos, George
Contributors: Université de Toulouse (UT), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Mathématiques et Informatique Appliquées (MIA Paris-Saclay), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019), ANR-16-CE40-0028,DE-MO-GRAPH,Décomposition de Modèles Graphiques(2016)
Source: The 28th International Conference on Principles and Practice of Constraint Programming ; https://hal.science/hal-03674105 ; The 28th International Conference on Principles and Practice of Constraint Programming, Jul 2022, Haifa, Israel. ⟨10.4230/LIPIcs.CP.2022.40⟩
Subject Terms: 2012 ACM Subject Classification Computing methodologies → Learning in probabilistic graphical models, Theory of computation → Discrete optimization phrases Combinatorial Optimization, Bayesian Networks, Decision Trees, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]