Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Claude-Guy Quimper"'
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 65 (2023)
We describe an optimal linear time complexity method for extracting patterns from sliding windows of multivariate time series that depends only on the length of the time series. The method is implemented as an open-source Java library and is used to
Externí odkaz:
https://doaj.org/article/050e2803ae0d4b878aeadc907f2dc728
Publikováno v:
European Journal of Operational Research. 305:53-63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ab1dd705ed1a47d95eae47b3dada951
https://doi.org/10.1016/j.ejor.2022.06.019
https://doi.org/10.1016/j.ejor.2022.06.019
Autor:
Maude Beauchemin, Marc-André Ménard, Jonathan Gaudreault, Nadia Lehoux, Stéphane Agnard, Claude-Guy Quimper
Publikováno v:
International Journal of Production Research. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d6dc67fc28f0e8c8ed739399ab6443d
https://doi.org/10.1080/00207543.2022.2139002
https://doi.org/10.1080/00207543.2022.2139002
Autor:
Yanick Ouellet, Claude-Guy Quimper
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3813-3820
The Cumulative constraint greatly contributes to the success of constraint programming at solving scheduling problems. The SoftCumulative, a version of the Cumulative where overloading the resource incurs a penalty is, however, less studied. We intro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a5f979c76201bb30184044fff87562
https://doi.org/10.1609/aaai.v36i4.20296
https://doi.org/10.1609/aaai.v36i4.20296
Autor:
Kessel, P., Claude-Guy Quimper
Publikováno v:
Scopus-Elsevier
The Word-RAM is a model of computation that takes into account the capacity of a computer to manipulate a word of w bits with a single instruction. Many modern constraint solvers use a bitset data structure to encode the values contained in the varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad1a0246761cfa5cfe597f640469262b
https://doi.org/10.1609/aaai.v26i1.8145
https://doi.org/10.1609/aaai.v26i1.8145
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 11:2-10
The combinatorial problems that constraint programming typically solves belong to the class of NP-hard problems. The AI planning community focuses on even harder problems: for example, classical planning is PSPACE-hard. A natural and well-known const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a22a6e27da1d717e280b0f11e3da970
https://doi.org/10.1609/socs.v11i1.18529
https://doi.org/10.1609/socs.v11i1.18529
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15686b51cce55d8fa12d5a6cee124689
https://doi.org/10.1109/itsc55140.2022.9922511
https://doi.org/10.1109/itsc55140.2022.9922511
Autor:
Christian Bessiere, Clément Carbonnel, Anton Dries, Emmanuel Hebrard, George Katsirelos, Nina Narodytska, Claude-Guy Quimper, Kostas Stergiou, Dimosthenis C. Tsouros, Toby Walsh
Publikováno v:
Artificial Intelligence
Artificial Intelligence, In press, pp.#103896. ⟨10.1016/j.artint.2023.103896⟩
Artificial Intelligence, In press, pp.#103896. ⟨10.1016/j.artint.2023.103896⟩
International audience; Learning constraint networks is known to require a number of membership queries exponential in the number of variables. In this paper, we learn constraint networks by asking the user partial queries. That is, we ask the user t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ec4a749059ec06846191ee01c993b53
https://doi.org/10.1016/j.artint.2023.103896
https://doi.org/10.1016/j.artint.2023.103896
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e85b5368fd9c71775d290d3f2e891323
https://doi.org/10.1109/iv51971.2022.9827179
https://doi.org/10.1109/iv51971.2022.9827179
Publikováno v:
International Journal on Artificial Intelligence Tools. 31
Mixed-initiative systems for interactive optimization allow the user to add preferences to find satisfactory solutions. Industries use them as decision-support tools in order to take into consideration unexpected events or characteristics not stated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b7a55877d3e819878e0ead9fa40b6d6
https://doi.org/10.1142/s0218213022500233
https://doi.org/10.1142/s0218213022500233