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12/25/2013
Model-based clustering with Hidden Markov Model regression for time series with regime changes
This paper introduces a novel model-based clustering approach for cluste...
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12/25/2013
Classification automatique de données temporelles en classes ordonnées
This paper proposes a method of segmenting temporal data into ordered cl...
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12/25/2013
A regression model with a hidden logistic process for feature extraction from time series
A new approach for feature extraction from time series is proposed in th...
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12/25/2013
A regression model with a hidden logistic process for signal parametrization
A new approach for signal parametrization, which consists of a specific ...
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12/25/2013
Modèle à processus latent et algorithme EM pour la régression non linéaire
A non linear regression approach which consists of a specific regression...
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12/25/2013
Time series modeling by a regression approach based on a latent process
Time series are used in many domains including finance, engineering, eco...
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12/25/2013
A hidden process regression model for functional data description. Application to curve discrimination
A new approach for functional data description is proposed in this paper...
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12/25/2013
Model-based clustering and segmentation of time series with changes in regime
Mixture model-based clustering, usually applied to multidimensional data...
research
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12/25/2013