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A predictive deviance criterion for selecting a generative model in semi-supervised classification

Vincent Vandewalle 1, 2 Christophe Biernacki 2, 3 Gilles Celeux 1 Gérard Govaert 4
1 SELECT - Model selection in statistical learning
LMO - Laboratoire de Mathématiques d'Orsay, Inria Saclay - Ile de France
3 MODAL - MOdel for Data Analysis and Learning
LPP - Laboratoire Paul Painlevé - UMR 8524, Université de Lille, Sciences et Technologies, Inria Lille - Nord Europe, METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694, Polytech Lille - École polytechnique universitaire de Lille
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https://hal.inria.fr/hal-00778130
Contributor : Erwan Le Pennec <>
Submitted on : Friday, January 18, 2013 - 5:38:18 PM
Last modification on : Friday, November 27, 2020 - 2:18:02 PM

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Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert. A predictive deviance criterion for selecting a generative model in semi-supervised classification. Computational Statistics and Data Analysis, Elsevier, 2012. ⟨hal-00778130⟩

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