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36篇 您的检索式：作者名="Celeux"

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	题名	作者	年代	出处	被引量
1	Assessing a mixture model for clustering with the integrated completed likelihood显示文摘	Biernacki C Celeux G Govaert G	2000	Transactions on Pattern Analysis and Machine Intelligence2000，22，7：	1
2	Assessing a mixture model for clustering with the integrated completed likelihood 显示文摘	Biernacki Christophe Celeux Gilles Govaert Gerard	2000	IEEE Transactions on Pattern Analysis and Machine Intelligence2000，22，7：	1
3	Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood显示文摘	BIERNACKI C CELEUX G GOVAERT G	2000	IEEE Transactions on Pattern Analysis and Machine Intelligence2000，22，3：	1
4	Gaussian parsimonious clustering models显示文摘	CELEUX G GOVAERT G	1995	Pattern Recognition1995，28，：	1
5	Mixture of linear mixed models for clustering gene expression profiles from repeated microarray experiments显示文摘	CELEUX G MARTIN O LAVERGNE C	2005	Statistical Modelling2005，，5：	1
6	Regularized Gaussian discriminant analysis through eigenvalue decomposition显示文摘	BENSMAIL H CELEUX G	1996	Journal of the American Statistical Association1996，91，：	1
7	Choosing starting values forthe EM algorithm for getting the highest likelihood inmultivaria- te Gaussian mixture models显示文摘	Biernacki C Celeux G Govaert G	2003	Computational StatisticData Analysis2003，，41：	1
8	Assessing a mixture model for clustering with the integrated completed likelihood显示文摘	Biernacki C Celeux G Govaert G	2000	IEEE Trans on Pattern Analysis and Machine Intelligence2000，22，7：	1
9	Iterated importance sampling in missing data problems显示文摘	Celeux G Marin J M Robert C P	2006	Computational Statistics & Data Analysis2006，50，12：	1
10	EM procedures using mean fieldlike approximations for Markov model-based image segmentation显示文摘	Celeux G Forbes F Peyrard N	2003	Pattern Recognit2003，36，1：	1
11	An alternative corn peting risk model to the Weibull distribution for modeling aging in lifetime data analysis显示文摘	Bousquet N Bertholon H Celeux G	2006	Lifetime Data Analysis2006，12，4：	1
12	EM Procedures Using Mean Fieldlike Approximations for Markov Model-based Image Segmentation显示文摘	Celeux G Forbes F Peyrard N	2003	Pattern Recognition2003，36，1：	1
13	Gaussian parsimonious clustering models显示文摘	Celeux G Govaert G	1995	Pattern recognition1995，28，5：	1
14	Stochastic versions of the EM algorithm: an experimental study in the mixture case显示文摘	Celeux G Chauveau D and Diebolt J	1996	Journal of Statistical Computation and Simulation1996，55，4：	1
15	et al, Inference in model-based cluster analysis 显示文摘	Bensmail H Celeux G Raftery A	1997	Statistics and Computing1997，7，1：	1
16	EM procedures using mean field-like approximations for Markov model-based image segmentation显示文摘	Celeux G Forbes F Peyrard N	2003	Pattern Recognition2003，36，：	1
17	Selecting hidden markov model state number with cross-validation likelihood显示文摘	Celeux G Durand JB	2008	Comput Stat2008，23，4：	1
18	Gaussian parsimonious clustering rnodels显示文摘	Celeux G G Govaert	1995	Pattern Recognition1995，，28：	1
19	EM procedures using mean field-like approximations for markov model-based image segmentation 显示文摘	Gilles Celeux Florence Forbes Nathalie Peyrard	2003	Pattern Recognition(S0031-3203)2003，36，1：	1
20	Assessing a mixture model for clustering with the integrated completed likelihood显示文摘	Biernacki C Celeux G Govaert G	2000	IEEE Transactions on Pattern Analysis and Machine Intelligence2000，22，7：	1

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