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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
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2Conference
Authors: Cherif, Mohamed, Sami, Habet, Djamal, Terrioux, Cyril
Contributors: COntraintes, ALgorithmes et Applications (COALA), Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), ANR-16-CE40-0028,DE-MO-GRAPH,Décomposition de Modèles Graphiques(2016)
Source: 27th International Conference on Principles and Practice of Constraint Programming
https://amu.hal.science/hal-03402696
27th International Conference on Principles and Practice of Constraint Programming, Oct 2021, Montpellier, France. ⟨10.4230/LIPIcs.CP.2021.20⟩
https://cp2021.a4cp.org/Subject Terms: 2012 ACM Subject Classification Computing methodologies → Artificial intelligence phrases Satisfiability, Branching Heuristic, Restarts, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Subject Geographic: Montpellier, France