Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Patrice Boizumault"'
Autor:
Nancy Lynn Tinkham
Publikováno v:
ACM SIGART Bulletin. 6:17
As a programming language, Prolog was designed to reflect conceptual problem-solving methods rather than the architecture of any particular computer; it encourages the programmer to solve problems by describing facts and relationships, instead of try
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf381d278e4b0e3d6b9f252150f3810
https://doi.org/10.1007/978-3-031-30047-9_17
https://doi.org/10.1007/978-3-031-30047-9_17
Autor:
David Allouche, Yahia Lebbah, Patrice Boizumault, Abdelkader Ouali, Samir Loudni, Simon de Givry, Lakhdar Loukil
Publikováno v:
Artificial Intelligence
Artificial Intelligence, Elsevier, 2020, 278, pp.103194. ⟨10.1016/j.artint.2019.103194⟩
Artificial Intelligence, Elsevier, 2020, 278, pp.103194. ⟨10.1016/j.artint.2019.103194⟩
International audience; Graphical models factorize a global probability distribution/energy function as the product/ sum of local functions. A major inference task, known as MAP in Markov Random Fields and MPE in Bayesian Networks, is to find a globa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf1ebc520ecdbf1d0623a0d18d3ea0f
https://hal-normandie-univ.archives-ouvertes.fr/hal-02463467
https://hal-normandie-univ.archives-ouvertes.fr/hal-02463467
Autor:
Lakhdar Loukil, Samir Loudni, Yahia Lebbah, Patrice Boizumault, Albrecht Zimmermann, Bruno Crémilleux, Abdelkader Ouali
Publikováno v:
Pacific-Asia Conference on Knowledge Discovery and Data Mining
Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2017, Jeju, South Korea. ⟨10.1007/978-3-319-57529-2_23⟩
Advances in Knowledge Discovery and Data Mining ISBN: 9783319575285
PAKDD (2)
Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2017, Jeju, South Korea. ⟨10.1007/978-3-319-57529-2_23⟩
Advances in Knowledge Discovery and Data Mining ISBN: 9783319575285
PAKDD (2)
International audience; Pattern set mining is an important part of a number of data mining tasks such as classification, clustering, database tiling, or pattern summarization. Efficiently mining pattern sets is a highly challenging task and most appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db4cfb02650b8ead15ceccc2188296eb
https://hal.archives-ouvertes.fr/hal-01597819/document
https://hal.archives-ouvertes.fr/hal-01597819/document
Autor:
Arnaud Soulet, Chedy Rassi, Willy Ugarte, Samir Loudni, Patrice Boizumault, Bruno Crmilleux, Marc Plantevit, Alban Lepailleur
Publikováno v:
Artificial Intelligence
Artificial Intelligence, 2017, 244, pp.48-69. ⟨10.1016/j.artint.2015.04.003⟩
Artificial Intelligence, Elsevier, 2017, 244, pp.48-69. ⟨10.1016/j.artint.2015.04.003⟩
Artificial Intelligence, 2017, 244, pp.48-69. ⟨10.1016/j.artint.2015.04.003⟩
Artificial Intelligence, Elsevier, 2017, 244, pp.48-69. ⟨10.1016/j.artint.2015.04.003⟩
International audience; Data mining is the study of how to extract information from data and express it as useful knowledge. One of its most important subfields, pattern mining, involves searching and enumerating interesting patterns in data. Various
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c0dd85552694d2df81c1065be51e731
https://hal.science/hal-02048224/document
https://hal.science/hal-02048224/document
Publikováno v:
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, 30 (6), pp.675--703. ⟨10.3166/ria.30.675-703⟩
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, 30 (6), pp.675--703. ⟨10.3166/ria.30.675-703⟩
National audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48975349bd3f72900746087f4906ce93
https://hal.archives-ouvertes.fr/hal-01421274
https://hal.archives-ouvertes.fr/hal-01421274
Publikováno v:
Electronic Notes in Discrete Mathematics. 39:265-272
This paper presents two extensions for DGVNS (Decomposition Guided VNS ) method, that exploit both the graph of clusters and separators between these clusters, to efficiently guide the exploration of large neighborhoods in VNS . Experiments performed
Autor:
Simon de Givry, Jimmy H. M. Lee, David Allouche, Patricia Gutierrez, Samir Loudni, Yi Wu, Jean-Philippe Métivier, Patrice Boizumault, K. L. Leung, Christian Bessiere, Thomas Schiex
Publikováno v:
Artificial Intelligence
Artificial Intelligence, Elsevier, 2016, 238, pp.166-189. ⟨10.1016/j.artint.2016.06.005⟩
Artificial Intelligence (238), 166-189. (2016)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Artificial Intelligence, Elsevier, 2016, 238, pp.166-189. ⟨10.1016/j.artint.2016.06.005⟩
Artificial Intelligence (238), 166-189. (2016)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Graphical model processing is a central problem in artificial intelligence. The optimization of the combined cost of a network of local cost functions federates a variety of famous problems including CSP, SAT and Max-SAT but also optimization in stoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe284dd79c0754c121e3f95c929a5a4
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01374533
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01374533
Publikováno v:
Advances in Knowledge Discovery and Management 5
Fabrice Guillet; Bruno Pinaud; Gilles Venturini; Djamel Abdelkader Zighed. Advances in Knowledge Discovery and Management 5, 615, Springer, pp.105-136, 2016, Studies in Computational Intelligence, 978-3-319-23751-0. ⟨10.1007/978-3-319-23751-0_6⟩
Advances in Knowledge Discovery and Management ISBN: 9783319237503
EGC (best of volume)
Fabrice Guillet; Bruno Pinaud; Gilles Venturini; Djamel Abdelkader Zighed. Advances in Knowledge Discovery and Management 5, 615, Springer, pp.105-136, 2016, Studies in Computational Intelligence, 978-3-319-23751-0. ⟨10.1007/978-3-319-23751-0_6⟩
Advances in Knowledge Discovery and Management ISBN: 9783319237503
EGC (best of volume)
International audience; Within the pattern mining area, skypatterns enable to express a user-preference point of view according to a dominance relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. First,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cec0c5cd5a393ef2591782cfd639d77
https://hal.archives-ouvertes.fr/hal-01627054/document
https://hal.archives-ouvertes.fr/hal-01627054/document
Autor:
Patrice Boizumault, Samir Loudni
Publikováno v:
European Journal of Operational Research. 191:705-735
This paper presents an hybrid search method for solving on-line optimization problems that are modelled using the vcsp Valued Constraint Satisfaction Problems framework. To each constraint is associated a valuation representing the “cost to pay”