Multiview Boosting by Controlling the ...

Document type :
Article dans une revue scientifique
DOI :
10.1016/j.neucom.2019.04.072
Permalink :
http://hdl.handle.net/20.500.12210/29421
Title :
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Author(s) :
Goyal, Anil [Auteur]
Morvant, Emilie [Auteur]
Germain, Pascal [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Amini, Massih-Reza [Auteur]
Journal title :
Neurocomputing
Publisher :
Elsevier
Publication date :
2019
ISSN :
0925-2312
Keyword(s) :
PAC-Bayes
Multiview Learning
Boosting
HAL domain(s) :
Statistiques [stat]/Machine Learning [stat.ML]
English abstract : [en]
In this paper we propose a boosting based multiview learning algorithm, referred to as PB-MVBoost, which iteratively learns i) weights over view-specific voters capturing view-specific information; and ii) weights over ...
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Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CNRS
Université de Lille
Collections :
Submission date :
2020-06-08T14:11:46Z
2020-06-09T09:29:33Z
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220.500.12210/29421*2020-06-09T09:29:17Z
120.500.12210/29421.12020-06-08T14:11:46Z

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