Search - INRIA - Institut National de Recherche en Informatique et en Automatique

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		Relevance Author A→Z Author Z→A Title A→Z Title Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 results per page 50 results per page 100 results per page Merci d'indiquer la raison de votre demande o Export XML-TEI BibTeX EndNote CSV PDF HTML Advanced export... Syndicated feeds RSS ATOM
	hal-02406503v2 Journal articles Peter Kairouz, Brendan Mcmahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis et al. Advances and Open Problems in Federated Learning Foundations and Trends in Machine Learning, Now Publishers, 2021, 14 (1-2), pp.1-210
	hal-01945508v1 Conference papers Marta Avalos, Richard Nock, Cheng Ong, Julien Rouar, Ke Sun. Representation Learning of Compositional Data NIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada
	hal-00488441v1 Journal articles Jean-Daniel Boissonnat, Frank Nielsen, Richard Nock. Bregman Voronoi diagrams Discrete and Computational Geometry, Springer Verlag, 2010, pp.200
	inria-00137865v2 Reports Jean-Daniel Boissonnat, Frank Nielsen, Richard Nock. Bregman Voronoi Diagrams: Properties, Algorithms and Applications [Research Report] RR-6154, INRIA. 2007, pp.48
	hal-01184805v1 Journal articles Olivier Gascuel, Bernadette Bouchon-Meunier, Gilles Caraux, Patrick Gallinari, Alain Guénoche et al. Twelve numerical, symbolic and hybrid supervised classification methods International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 1998, 12 (5), pp.517-572. ⟨10.1142/S0218001498000336⟩
		Relevance Author A→Z Author Z→A Title A→Z Title Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 results per page 50 results per page 100 results per page o Export XML-TEI BibTeX EndNote CSV PDF HTML Advanced export... Syndicated feeds RSS ATOM