Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Oppenheim, Georges"'
Autor:
Larvaron, Benjamin, Clausel, Marianne, Bertoncello, Antoine, Benjamin, Sébastien, Oppenheim, Georges, Bertin, Clément
Publikováno v:
In Journal of Energy Storage 1 February 2024 78
Autor:
Obst, David, Ghattas, Badih, Cugliari, Jairo, Oppenheim, Georges, Claudel, Sandra, Goude, Yannig
Transfer learning, also referred as knowledge transfer, aims at reusing knowledge from a source dataset to a similar target one. While many empirical studies illustrate the benefits of transfer learning, few theoretical results are established especi
Externí odkaz:
http://arxiv.org/abs/2102.09504
Akademický článek
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Autor:
Larvaron, Benjamin, Clausel, Marianne, Bertoncello, Antoine, Benjamin, Sébastien, Oppenheim, Georges
Publikováno v:
In Journal of Energy Storage 1 September 2023 67
Autor:
Larvaron, Benjamin, Clausel, Marianne, Bertoncello, Antoine, Benjamin, Sébastien, Oppenheim, Georges
Publikováno v:
In Journal of Energy Storage 15 August 2023 65
Autor:
Obst, David, Ghattas, Badih, Claudel, Sandra, Cugliari, Jairo, Goude, Yannig, Oppenheim, Georges
While ubiquitous, textual sources of information such as company reports, social media posts, etc. are hardly included in prediction algorithms for time series, despite the relevant information they may contain. In this work, openly accessible daily
Externí odkaz:
http://arxiv.org/abs/1910.12618
Autor:
Obst, David, Ghattas, Badih, Claudel, Sandra, Cugliari, Jairo, Goude, Yannig, Oppenheim, Georges
Publikováno v:
In Computational Statistics and Data Analysis October 2022 174
This paper presents a backfitting-type method for estimating and forecasting a periodically correlated partially linear model with exogeneous variables and heteroskedastic input noise. A rate of convergence of the estimator is given. The results are
Externí odkaz:
http://arxiv.org/abs/1102.4351
Autor:
Fratani, Amandine, Viseur, Sophie, Popineau, Fabrice, Henry, Pierre, Ghattas, Badih, Oppenheim, Georges, Dhont, Damien, Gout, Claude
Publikováno v:
2021 RING Meeting, Research for Integrative Numerical Geology
2021 RING Meeting, Research for Integrative Numerical Geology, 2021, nancy, France
2021 RING Meeting, Research for Integrative Numerical Geology, 2021, nancy, France
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::03e83e604881962a1e4ef426c99b0036
https://hal.science/hal-03581404
https://hal.science/hal-03581404
Autor:
Alkhoury, Sami, Devijver, Emilie, Clausel, Marianne, Tami, Myriam, Gaussier, Éric, Oppenheim, Georges
Publikováno v:
NeurIPS 2020-34th International Conference on Neural Information Processing Systems
NeurIPS 2020-34th International Conference on Neural Information Processing Systems, Dec 2020, Virtuelle, France. pp.1-11
NeurIPS 2020-34th International Conference on Neural Information Processing Systems, Dec 2020, Virtuelle, France. pp.1-11
International audience; We propose here a generalization of regression trees, referred to as Probabilistic Regression (PR) trees, that adapt to the smoothness of the prediction function relating input and output variables while preserving the interpr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6903c25011db7e5d54bac493da26eed5
https://hal.archives-ouvertes.fr/hal-03050168/file/NeurIPS-2020-smooth-and-consistent-probabilistic-regression-trees-Paper.pdf
https://hal.archives-ouvertes.fr/hal-03050168/file/NeurIPS-2020-smooth-and-consistent-probabilistic-regression-trees-Paper.pdf