Incertitude de classement final et affluence en Ligue 1 française de football : une nouvelle approche

Autor: Guironnet, Jean-Pascal

Publikováno v: Revue d'économie politique, 2018 Jul 01. 128(4), 641-666.

Externí odkaz: https://www.jstor.org/stable/26596231

Interpreting DNA Evidence: A Review

Autor: Foreman, L. A., Champod, C., Evett, I. W., Lambert, J. A., Pope, S.

Publikováno v: International Statistical Review / Revue Internationale de Statistique, 2003 Dec 01. 71(3), 473-495.

Externí odkaz: https://www.jstor.org/stable/1403824

Apprentissage de motifs en grande dimension appliqué aux séries temporelles

Autor: Dib, Amir

Publikováno v: Statistics [math.ST]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASM038⟩

Bien que l'adoption de l'apprentissage automatique dans de nombreux contextes appliqués ait connu une croissance rapide au cours de la dernière décennie, son utilisation dans certains environnements industriels reste problématique. La raison prin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9af3b671fc6071401770a3e804bb9e3f
https://tel.archives-ouvertes.fr/tel-03412862/document

A hybrid approach for the evaluation of rail monitoring and maintenance strategies for the Grand Paris Express new metro

Autor: Olivier Francois, Clément Granier, Christophe Cieux, Laurent Bouillaut, Yves Putallaz

Publikováno v: International Journal of Performability Engineering
International Journal of Performability Engineering, 2020, 16, pp 1685-1697. ⟨10.23940/ijpe.20.11.p1.16851697⟩

Three years after its first 2010 enactment, the French government proposed a timeline for the development of a new metro network providing new rapid transit lines in the Ile de France region. Implemented by the Société du Grand Paris (SGP), the Gra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b36b902873c2a42c7729b7596b3d2fad
https://hal.archives-ouvertes.fr/hal-03079167

Multi-fidelity modeling using DGPs: Improvements and a generalization to varying input space dimensions

Autor: Hebbal, Ali, Brevault, Loïc, Balesdent, Mathieu, Talbi, El-Ghazali, Melab, Nouredine

Publikováno v: NeuIPS 2019 Thirty-third Conference on Neural Information Processing Systems
NeuIPS 2019 Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
4th workshop on Bayesian Deep Learning (NeurIPS 2019)
4th workshop on Bayesian Deep Learning (NeurIPS 2019), Dec 2019, Vancouver, Canada

International audience; Multi-fidelity approaches improve the inference of a high-fidelity model which is constructed using a small set of accurate observations, by taking advantage of its correlations with a low-fidelity model built using a larger s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b908fad7b0db2b6a426296cea0504ec2
https://hal.archives-ouvertes.fr/hal-02459017/file/DTIS20013.1579518356.pdf