Estimating mixtures of truncated exponentials from data

The MTE (mixture of truncated exponentials) model allows to deal with Bayesian networks containing discrete and continuous variables simultaneously. One of the features of this model is that standard propagation algorithms can be applied. In this paper, we study the problem of estimating these...

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Manylion Llyfryddiaeth
Prif Awduron: Moral, Serafín, Rumí, Rafael, Salmerón Cerdán, Antonio
Fformat: info:eu-repo/semantics/report
Iaith:English
Cyhoeddwyd: 2012
Mynediad Ar-lein:http://hdl.handle.net/10835/1557
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author Moral, Serafín
Rumí, Rafael
Salmerón Cerdán, Antonio
author_facet Moral, Serafín
Rumí, Rafael
Salmerón Cerdán, Antonio
author_sort Moral, Serafín
collection DSpace
description The MTE (mixture of truncated exponentials) model allows to deal with Bayesian networks containing discrete and continuous variables simultaneously. One of the features of this model is that standard propagation algorithms can be applied. In this paper, we study the problem of estimating these models from data. We propose an iterative algorithm based on least squares approximation. The performance of the algorithm is tested both with artificial and actual data.
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institution Universidad de Cuenca
language English
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spelling oai:repositorio.ual.es:10835-15572023-04-12T19:40:32Z Estimating mixtures of truncated exponentials from data Moral, Serafín Rumí, Rafael Salmerón Cerdán, Antonio The MTE (mixture of truncated exponentials) model allows to deal with Bayesian networks containing discrete and continuous variables simultaneously. One of the features of this model is that standard propagation algorithms can be applied. In this paper, we study the problem of estimating these models from data. We propose an iterative algorithm based on least squares approximation. The performance of the algorithm is tested both with artificial and actual data. 2012-05-28T09:50:38Z 2012-05-28T09:50:38Z 2002 info:eu-repo/semantics/report Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 135-143. http://hdl.handle.net/10835/1557 en info:eu-repo/semantics/openAccess First European Workshop on Probabilistic Graphical Models (PGM'02)
spellingShingle Moral, Serafín
Rumí, Rafael
Salmerón Cerdán, Antonio
Estimating mixtures of truncated exponentials from data
title Estimating mixtures of truncated exponentials from data
title_full Estimating mixtures of truncated exponentials from data
title_fullStr Estimating mixtures of truncated exponentials from data
title_full_unstemmed Estimating mixtures of truncated exponentials from data
title_short Estimating mixtures of truncated exponentials from data
title_sort estimating mixtures of truncated exponentials from data
url http://hdl.handle.net/10835/1557
work_keys_str_mv AT moralserafin estimatingmixturesoftruncatedexponentialsfromdata
AT rumirafael estimatingmixturesoftruncatedexponentialsfromdata
AT salmeroncerdanantonio estimatingmixturesoftruncatedexponentialsfromdata