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Méthodes tensorielles pour les données multidimensionnelles..:
Karmouda, Ouafae
Ecole doctorale Mathématiques, sciences du numérique et de leurs interactions (Lille). , 2022
Link:
https://hdl.handle.net/20.500.12210/84560
RT Journal T1 <Title>Méthodes tensorielles pour les données multidimensionnelles : apprentissage et estimation du rang</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivlilleoa:oai:lilloa.univ-lille.fr:20.500.12210_84560&Exemplar=1&LAN=DE A1 Karmouda, Ouafae PB Université de Lille YR 2022 K1 Décomposition canonique polyadique K1 Décomposition en trains de tenseurs K1 Estimation du rang K1 Données multidimensionnelles K1 Estimation theory;Maching learning;Tensor factorization JF Ecole doctorale Mathématiques, sciences du numérique et de leurs interactions (Lille) LK http://dx.doi.org/https://hdl.handle.net/20.500.12210/84560 DO https://hdl.handle.net/20.500.12210/84560 SF ELIB - SuUB Bremen
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