Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Régis Lebrun"'
2
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks
Autor: Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin
Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence
The Thirty-Fifth AAAI Conference on Artificial Intelligence
The Thirty-Fifth AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2021, Vancouver, Canada. pp.12139-12146
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We propose a new framework to learn non-parametric graphical models from continuous observational data. Our method is based on concepts from information theory in order to discover independences and causality between variables: the conditional and mu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591e4509baa18b564a5554f816e393f8
https://hal.archives-ouvertes.fr/hal-03346955/file/aaai2021-paper.pdf
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4
Constraint-Based Learning for Non-Parametric Continuous Bayesian Networks
Autor: Régis Lebrun, Pierre-Henri Wuillemin, Marvin Lasserre
Publikováno v: FLAIRS 33-33rd Florida Artificial Intelligence Research Society Conference
FLAIRS 33-33rd Florida Artificial Intelligence Research Society Conference, May 2020, Miami, United States. pp.581-586
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence, Springer Verlag, 2021, 89, pp.1035-1052. ⟨10.1007/s10472-021-09754-2⟩
HAL
International audience; Modeling high-dimensional multivariate distributions is a computationally challenging task. Bayesian networks have been successfully used to reduce the complexity and simplify the problem with discrete variables. However, it l
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f22230afbfa16b330b57750878fa40a
https://hal.archives-ouvertes.fr/hal-02615379/document
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5
A digital twin-based approach for the management of geometrical deviations during assembly processes
Autor: Claire Lartigue, Jean-Loup Grégorio, François Thiébaut, Régis Lebrun
Publikováno v: Journal of Manufacturing Systems
Journal of Manufacturing Systems, Elsevier, 2020, ⟨10.1016/j.jmsy.2020.04.020⟩
International audience; The recent transformation in the aeronautical industry gives new prospects in the field of product geometry assurance. These include, in particular the creation of sophisticated virtual models, or digital twins, which can refl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60266915581360a40639de75fffd53c4
https://hal.archives-ouvertes.fr/hal-02616126/file/paper_JMS_digital-twin_HAL.pdf
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6
Copulas for order statistics with prescribed margins
Autor: Régis Lebrun, Anne Dutfoy
Publikováno v: Journal of Multivariate Analysis. 128:120-133
The joint distribution of order statistics is characterized without reference to a parent distribution. To this end, the possible univariate margins of such a distribution are first determined. The class of possible copulas K is then characterized un
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::10c477083e38c58a39448259fea22f02
https://doi.org/10.1016/j.jmva.2014.03.006
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7
Do Rosenblatt and Nataf isoprobabilistic transformations really differ?
Autor: Anne Dutfoy, Régis Lebrun
Publikováno v: Probabilistic Engineering Mechanics. 24:577-584
This article is the third in a series dedicated to the mathematical study of isoprobabilistic transformations and their relationship with stochastic dependence modelling, see [R. Lebrun, A. Dutfoy, An innovating analysis of the Nataf transformation f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e755513073429beac1cc72227694de23
https://doi.org/10.1016/j.probengmech.2009.04.006
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8
An innovating analysis of the Nataf transformation from the copula viewpoint
Autor: Anne Dutfoy, Régis Lebrun
Publikováno v: Probabilistic Engineering Mechanics. 24:312-320
This article gives new insight on the Nataf transformation, a widely used tool in reliability analysis. After recalling some basics concerning the copula theory, we explain this transformation in the light of the copula theory and we uncover all the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::704b2455e042e5d4c9c5f5da881ed668
https://doi.org/10.1016/j.probengmech.2008.08.001
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9
A least-squares method for sparse low rank approximation of multivariate functions
Autor: Mathilde Chevreuil, Régis Lebrun, Anthony Nouy, Prashant Rai
Publikováno v: SIAM/ASA Journal on Uncertainty Quantification
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2015, 3 (1), pp.897--921
International audience; In this paper, we propose a low-rank approximation method based on discrete least-squares for the approximation of a multivariate function from random, noisy-free observations. Sparsity inducing regularization techniques are u
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ad22c0a6e1fd157d66de608efdcbd5f
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10
La mission des grandes surfaces : 'Maîtriser le froid, le prouver et informer le consommateur'
Autor: Gabriel Binetti, Régis Lebrun, Olivier Beyer, Pierre de Ginestel, Daniel Gendry, Dominique Gouloumès
Publikováno v: Bulletin de l'Académie Vétérinaire de France. 148:55-66
Beyer Olivier, Binetti Gabriel, Gendry Daniel, Ginestel Pierre de, Gouloumès Dominique, Lebrun Régis. La mission des grandes surfaces : “Maîtriser le froid, le prouver et informer le consommateur”. In: Bulletin de l'Académie Vétérinaire de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7af8ecb201201817f1549f28861270b6
https://doi.org/10.4267/2042/63995
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