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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Fformat: | info:eu-repo/semantics/report |
Iaith: | English |
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2012
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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. |
format | info:eu-repo/semantics/report |
id | oai:repositorio.ual.es:10835-1557 |
institution | Universidad de Cuenca |
language | English |
publishDate | 2012 |
record_format | dspace |
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 |