1. Recherche
153 résultats  enregistrer la recherche
...
hal-01200672v1  Communication dans un congrès
Mélina Gallopin, Andrea Rau, Gilles Celeux, Florence Jaffrézic. Transformation des données et comparaison de modèles pour la classification des données RNA-seq
47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France
...
inria-00200113v2  Rapport
Gilles Celeux, Agnès Grimaud, Yannick Lefèbvre, Etienne De Rocquigny. Identifying intrinsic variability in multivariate systems through linearised inverse methods
[Research Report] RR-6400, INRIA. 2007
...
inria-00073163v1  Rapport
Christophe Biernacki, Gilles Celeux, Gérard Govaert. Assessing a Mixture Model for Clustering with the Integrated Classification Likelihood
RR-3521, INRIA. 1998
...
inria-00073704v1  Rapport
Mostafa Bacha, Gilles Celeux. Bayesian Estimation of a Weibull Distribution in a Highly Censored and Small Sample Setting
[Research Report] RR-2993, INRIA. 1996
...
inria-00073116v1  Rapport
Didier Chauveau, Jean Diebolt. An Automated Stopping Rule for MCMC Convergence Assessment
RR-3566, INRIA. 1998
...
inria-00073132v1  Rapport
Gilles Celeux, Matthieu Persoz, Joseph Ngatchou Wandji, François Perrot. Bayesian Modelling of PWR Vessels Flaw Distributions
RR-3551, INRIA. 1998
...
inria-00074164v1  Rapport
Gilles Celeux, Didier Chauveau, Jean Diebolt. On Stochastic Versions of the EM Algorithm
[Research Report] RR-2514, INRIA. 1995
hal-00924210v1  Communication dans un congrès
Christine Keribin, V. Brault, Gilles Celeux, Gérard Govaert. Model selection for the binary latent block model
20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Limassol, Cyprus. pp.379-390, 2012
...
inria-00075045v1  Rapport
Gilles Celeux, Gérard Govaert. Comparison of the mixture and the classification maximum likelihood in cluster analysis
[Research Report] RR-1517, INRIA. 1991
...
inria-00075081v1  Rapport
Gilles Celeux, Abdallah Mkhadri. Discrete regularized discriminant analysis
[Research Report] RR-1481, INRIA. 1991
...
inria-00074969v1  Rapport
Jean Diebolt, Gilles Celeux. Asymptotic properties of a stochastic EM algorithm for estimating mixing proportions
[Research Report] RR-1591, INRIA. 1992
...
inria-00075196v1  Rapport
Gilles Celeux, Gérard Govaert. A classification EM algorithm for clustering and two stochastic versions
[Research Report] RR-1364, INRIA. 1991
...
inria-00074799v1  Rapport
Gilles Celeux, G. Soromenho. An Entropy criterion for assessing the number of clusters in a mixture model
RR-1874, INRIA. 1993
...
hal-01094837v2  Pré-publication, Document de travail
Didier Chauveau, Vy Thuy Lynh Hoang. Nonparametric mixture models with conditionally independent multivariate component densities
2015
hal-00707049v1  Communication dans un congrès
Charles Bouveyron, Gilles Celeux, Stéphane Girard. Intrinsic Dimension Estimation by Maximum Likelihood in Probabilistic PCA
IMS 2010 - 73rd Annual Meeting of the Institute of Mathematical Statistics, Aug 2010, Gothenburg, Sweden
...
hal-00924080v1  Pré-publication, Document de travail
Remy Fouchereau, Gilles Celeux, Patrick Pamphile. Probabilistic modeling of S-N curves
2014
hal-00924404v1  Communication dans un congrès
Vincent Brault, Gilles Celeux, Christine Keribin. Comparaisons de différents algorithmes pour le modèle des blocs latents
Séminaire AgroSelect, Oct 2013, Paris, France. 2013
...
inria-00074643v1  Rapport
Gilles Celeux, Gérard Govaert. Gaussian parsimonious clustering models
RR-2028, INRIA. 1993
...
inria-00075436v1  Rapport
Gilles Celeux, Jean Diebolt. Une version de type recuit simule de l'algorithme EM
RR-1123, INRIA. 1989
...
inria-00075437v1  Rapport
Gilles Celeux, Gérard Govaert. Clustering criteria for discrete data and latent class models
[Research Report] RR-1122, INRIA. 1989, pp.9
...
inria-00075178v1  Rapport
Gilles Celeux, Jean Diebolt. A stochastic approximation type EM algorithm for the mixture problem
[Research Report] RR-1383, INRIA. 1991
...
inria-00075090v1  Rapport
Jean Clairambault, L. Curzi-Dascalova, François Kauffmann, Claire Médigue, C. Leffler et al.  Heart rate variability in sleeping neonates
[Research Report] RR-1472, INRIA. 1991
...
inria-00075655v1  Rapport
Gilles Celeux, Jean Diebolt. A random imputation principle : the stochastic EM algorithm
RR-0901, INRIA. 1988
...
inria-00075912v1  Rapport
Gilles Celeux, Jean Diebolt. The EM and SEM algorithms for mixtures :Statistical and numerical aspects
RR-0641, INRIA. 1987
inria-00548239v1  Communication dans un congrès
Guillaume Bouchard, Gilles Celeux. Supervised Classification with Spherical Gaussian Mixtures
CLADAG meeting, Sep 2003, Bologna, Italy. 2003
...
hal-00625285v2  Pré-publication, Document de travail
Didier Chauveau, David Hunter. ECM and MM algorithms for normal mixtures with constrained parameters
2013
...
inria-00386574v1  Communication dans un congrès
Alberto Pasanisi, Côme Roero, Gilles Celeux, Emmanuel Rémy. Quelques considérations sur l'utilisation pratique des modèles discrets de survie en fiabilité industrielle
41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009
hal-01285640v1  Chapitre d'ouvrage
Gilles Celeux, Gérard Govaert. Latent Class Models for Categorical Data
Hennig, C.; Meila, M. ; Murthag, F; Rocci, R. Handbook of Cluster Analysis, Chapman & Hall/CRC, pp.173-194, 2015, Chapman & Hall/CRC Handbooks of Modern Statistical Methods
...
inria-00386620v1  Communication dans un congrès
Jean-Patrick Baudry, Gilles Celeux. Sélection de modèle pour la classification en présence d'une classification externe
41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009
...
hal-01088870v1  Pré-publication, Document de travail
Mélina Gallopin, Gilles Celeux, Florence Jaffrézic, Andrea Rau. A model selection criterion for model-based clustering of annotated gene expression data
2014

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD