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Conference papers

Théorèmes PAC-Bayésiens pour l'apprentissage multi-vues

Anil Goyal 1, 2 Emilie Morvant 1 Pascal Germain 3 Massih-Reza Amini 2
3 SIERRA - Statistical Machine Learning and Parsimony
DI-ENS - Département d'informatique - ENS Paris, CNRS - Centre National de la Recherche Scientifique, Inria de Paris
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01329763
Contributor : Emilie Morvant Connect in order to contact the contributor
Submitted on : Thursday, June 9, 2016 - 3:41:36 PM
Last modification on : Thursday, March 17, 2022 - 10:08:52 AM

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  • HAL Id : hal-01329763, version 1

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Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini. Théorèmes PAC-Bayésiens pour l'apprentissage multi-vues. Conférence Francophone sur l'Apprentissage Automatique (CAp), Jul 2016, Marseille, France. ⟨hal-01329763⟩

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