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Autor:
Guillon, Damien, Espinassou, Denis, Pichon, Pierre, Rojas Carrillo, Juan Javier, Landry, Charlotte, Clainchard, David, Juras, Laurent, Brault, Romain
Publikováno v:
In Composite Structures 15 July 2023 316
Machine learning has witnessed tremendous success in solving tasks depending on a single hyperparameter. When considering simultaneously a finite number of tasks, multi-task learning enables one to account for the similarities of the tasks via approp
Externí odkaz:
http://arxiv.org/abs/1805.08809
Random Forests (RFs) are strong machine learning tools for classification and regression. However, they remain supervised algorithms, and no extension of RFs to the one-class setting has been proposed, except for techniques based on second-class samp
Externí odkaz:
http://arxiv.org/abs/1611.01971
Publikováno v:
ACML, Hamilton, New-Zealand, JMLR Workshop and Conference Proceedings, November 2016, vol. 63, pp. 110-125
Devoted to multi-task learning and structured output learning, operator-valued kernels provide a flexible tool to build vector-valued functions in the context of Reproducing Kernel Hilbert Spaces. To scale up these methods, we extend the celebrated R
Externí odkaz:
http://arxiv.org/abs/1605.02536
Autor:
Goidescu, Cristina, Welemane, Hélène, Garnier, Christian, Fazzini, Marina, Brault, Romain, Péronnet, Elodie, Mistou, Sébastien
Publikováno v:
In Composites Part B May 2013 48:95-105
Publikováno v:
In Composite Structures 2012 94(2):376-385
Autor:
Brault, Romain
De nombreuses études ont été menées sur les matériaux composites, concernant le comportement mécanique à l’échelle macroscopique. D’autre part, le développement continu des techniques de détection et de mesures de champs permet d’alle
Externí odkaz:
http://oatao.univ-toulouse.fr/11007/1/brault.pdf
Autor:
Baskiotis, Nicolas, Becirspahic, Lucas, Brault, Romain, Duguet, Stephane, Guigue, Vincent, Guiguet, Valentin, Lorin, Stephane, Thouvenot, Vincent
Publikováno v:
WCRR 2019-12th World Congress on Railway Research
WCRR 2019-12th World Congress on Railway Research, Oct 2019, Tokyo, Japan
WCRR 2019-12th World Congress on Railway Research, Oct 2019, Tokyo, Japan
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a8ddc3a44453a045929ed08c5711f93a
https://hal.archives-ouvertes.fr/hal-02503471
https://hal.archives-ouvertes.fr/hal-02503471
Autor:
Brault, Romain, d'Alché-Buc, Florence
Many problems in Machine Learning can be cast into vector-valued functions approximation. Operator-Valued Kernels Operator-Valued Kernels and vector-valued Reproducing Kernel Hilbert Spaces provide a theoretical and versatile framework to address tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9d4a6a2c22760626c3bd38b80c17e8d5
https://hal.archives-ouvertes.fr/hal-01313005v3
https://hal.archives-ouvertes.fr/hal-01313005v3