Zobrazeno 1 - 10
of 273
pro vyhledávání: '"Govaert, Gérard"'
Publikováno v:
Env Risque Sante 10 (2011) 239-242
L'analyse du lien entre l'environnement et la sant\'e est devenue une pr\'eoccupation majeure de sant\'e publique comme en t\'emoigne l'\'emergence des deux Plans nationaux sant\'e environnement. Pour ce faire, les d\'ecideurs sont confront\'es au be
Externí odkaz:
http://arxiv.org/abs/1403.3659
This paper introduces a novel model-based clustering approach for clustering time series which present changes in regime. It consists of a mixture of polynomial regressions governed by hidden Markov chains. The underlying hidden process for each clus
Externí odkaz:
http://arxiv.org/abs/1312.7024
This paper proposes a method of segmenting temporal data into ordered classes. It is based on mixture models and a discrete latent process, which enables to successively activates the classes. The classification can be performed by maximizing the lik
Externí odkaz:
http://arxiv.org/abs/1312.7011
A new approach for feature extraction from time series is proposed in this paper. This approach consists of a specific regression model incorporating a discrete hidden logistic process. The model parameters are estimated by the maximum likelihood met
Externí odkaz:
http://arxiv.org/abs/1312.7001
A new approach for signal parametrization, which consists of a specific regression model incorporating a discrete hidden logistic process, is proposed. The model parameters are estimated by the maximum likelihood method performed by a dedicated Expec
Externí odkaz:
http://arxiv.org/abs/1312.6994
Publikováno v:
Neurocomputing, Volume 73, Issues 7-9, March 2010, Pages 1210-1221
A new approach for functional data description is proposed in this paper. It consists of a regression model with a discrete hidden logistic process which is adapted for modeling curves with abrupt or smooth regime changes. The model parameters are es
Externí odkaz:
http://arxiv.org/abs/1312.6968
Publikováno v:
Revue des Nouvelles Technologies de l'Information (RNTI), Statistique et nouvelles technologies de l'information (2011) 15-32
A non linear regression approach which consists of a specific regression model incorporating a latent process, allowing various polynomial regression models to be activated preferentially and smoothly, is introduced in this paper. The model parameter
Externí odkaz:
http://arxiv.org/abs/1312.6978
Publikováno v:
Neural Networks 22(5-6): 593-602 (2009)
Time series are used in many domains including finance, engineering, economics and bioinformatics generally to represent the change of a measurement over time. Modeling techniques may then be used to give a synthetic representation of such data. A ne
Externí odkaz:
http://arxiv.org/abs/1312.6969
Publikováno v:
Advances in Data Analysis and Classification, December 2011, Volume 5, Issue 4, pp 301-321
Mixture model-based clustering, usually applied to multidimensional data, has become a popular approach in many data analysis problems, both for its good statistical properties and for the simplicity of implementation of the Expectation-Maximization
Externí odkaz:
http://arxiv.org/abs/1312.6967