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Gilles Celeux

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|March 29, 2006
Selection of generative models in classificationGuillaume Bouchard, Gilles Celeux
Lifetime Data Analysis|October 6, 2006
An alternative competing risk model to the Weibull distribution for modelling aging in lifetime data analysisNicolas Bousquet, Henri Bertholon, Gilles Celeux
Biometrics|February 13, 2009
Variable selection for clustering with Gaussian mixture modelsCathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette
Bioinformatics (Oxford, England)|July 4, 2013
Data-based filtering for replicated high-throughput transcriptome sequencing experimentsAndrea Rau, Mélina Gallopin, Gilles Celeux, et al.
Statistical Applications in Genetics and Molecular Biology|October 14, 2015
A model selection criterion for model-based clustering of annotated gene expression dataMélina Gallopin, Gilles Celeux, Florence Jaffrézic, et al.
Bioinformatics (Oxford, England)|January 8, 2015
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture modelsAndrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|October 19, 2010
Combining Mixture Components for ClusteringJean-Patrick Baudry, Adrian E Raftery, Gilles Celeux, et al.
Journal De La Societe Francaise De Statistique (2009)|October 4, 2014
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based ClusteringGilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 29, 2006
Selection of generative models in classificationGuillaume Bouchard, Gilles Celeux
Lifetime Data Analysis|October 6, 2006
An alternative competing risk model to the Weibull distribution for modelling aging in lifetime data analysisNicolas Bousquet, Henri Bertholon, Gilles Celeux
Biometrics|February 13, 2009
Variable selection for clustering with Gaussian mixture modelsCathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette
Bioinformatics (Oxford, England)|July 4, 2013
Data-based filtering for replicated high-throughput transcriptome sequencing experimentsAndrea Rau, Mélina Gallopin, Gilles Celeux, et al.
Statistical Applications in Genetics and Molecular Biology|October 14, 2015
A model selection criterion for model-based clustering of annotated gene expression dataMélina Gallopin, Gilles Celeux, Florence Jaffrézic, et al.
Bioinformatics (Oxford, England)|January 8, 2015
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture modelsAndrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|October 19, 2010
Combining Mixture Components for ClusteringJean-Patrick Baudry, Adrian E Raftery, Gilles Celeux, et al.
Journal De La Societe Francaise De Statistique (2009)|October 4, 2014
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based ClusteringGilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau, et al.
Pageof 1