Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lasserre, Marvin"'
Publikováno v:
Annals of Mathematics & Artificial Intelligence; Nov2021, Vol. 89 Issue 10/11, p1035-1052, 18p
Autor:
Goareguer, Armelle, Le Denn, Amandine, Renaude, Fabrice, Maragna, Charles, Wuillemin, Pierre-Henri, Lasserre, Marvin, Gonzales, Christophe, Clausse, Marc
Publikováno v:
Journées Nationales sur l'Energie Solaire-JNES 2018
Journées Nationales sur l'Energie Solaire-JNES 2018, Jun 2018, Lyon, France
Journées Nationales sur l'Energie Solaire-JNES 2018, Jun 2018, Lyon, France
National audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9cb85b2d5ff81dda31835402cbd37b6e
https://hal.archives-ouvertes.fr/hal-02135860/document
https://hal.archives-ouvertes.fr/hal-02135860/document
Publikováno v:
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9e964b8b08308347cdec7731e35b501f
https://hal.archives-ouvertes.fr/hal-03417344
https://hal.archives-ouvertes.fr/hal-03417344
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
HAL
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
HAL
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
https://hal.archives-ouvertes.fr/hal-03346955/file/aaai2021-paper.pdf
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
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
https://hal.archives-ouvertes.fr/hal-02615379/document