A probabilistic learning on manifolds as a new tool in machine learning and data science with applications in computational mechanics

Autor: Vincent Dangla, Christian Soize, Guilherme Coelho Cunha, Morad Kassem, Mosson, A., Benoit. van den Nieuwenhof
Přispěvatelé: Laboratoire de Modélisation et Simulation Multi Echelle (MSME), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), AIRBUS Operations Ltd., Free Field Technologies (FFT), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Marne-la-Vallée (UPEM), Soize, Christian
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: UNCECOMP 2019, 3nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
UNCECOMP 2019, 3nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2019, Island of Crete, Greece
HAL
Popis: International audience
Databáze: OpenAIRE