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Mixtures of truncated exponentials (MTEs) and mixtures of truncated basis functions (MoTBFs) in general
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Antonio Fernández, Rafael Rumí, Antonio Salmerón (2012)
Answering queries in hybrid Bayesian networks using importance sampling.
Decision Support Systems 53, 580-590.
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Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón (2012)
Mixtures of truncated basis functions.
International Journal of Approximate Reasoning 53, 212-227.
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Antonio Fernández, Helge Langseth, Thomas Nielsen, Antonio Salmerón (2010) Parameter learning in MTE networks using incomplete data. Proceedings of The Fifth European Workshop on Probabilistic Graphical Models (PGM 2010), pp. 137-144.
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Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón (2010) Parameter estimation and model selection for mixtures of truncated exponentials. International Journal of Approximate Reasoning 51, 485-498.
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[preprint]
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Antonio Fernández, Jens D. Nielsen, Antonio Salmerón (2010) Learning Bayesian networks for regression from incomplete databases. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems 18, 69-86.
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[preprint]
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Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón (2009) Maximum Likelihood Learning of Conditional MTE Distributions. ECSQARU 2009. Lecture Notes in Computer Science 5590, 240-251.
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[preprint]
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Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón (2009) Inference in hybrid Bayesian networks. Reliability Engineering and Systems Safety 94, 1499-1509.
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[preprint]
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Antonio Fernández, Antonio Salmerón (2008) Extension of Bayesian network classifiers to regression problems. IBERAMIA'08. Lecture Notes in Artificial Intelligence 5290, 83-92.
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Helge Langseth, Thomas D. Nielsen, Rafael Rumi and Antonio Salmeron (2008) Parameter Estimation in Mixtures of Truncated Exponentials. Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. (PGM'08). Pages 169--176.
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Antonio Fernández, Jens D. Nielsen and Antonio Salmerón (2008) Learning naive Bayes regression models with missing data using mixtures of truncated exponentials. Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08) Pages 105-112.
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María Morales, Carmelo Rodríguez, Antonio Salmerón (2007) Selective naive Bayes for regression using mixtures of truncated exponentials. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems 15, 697-716.
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[preprint]
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Rafael Rumí, Antonio Salmerón (2007) Approximate probability propagation with mixtures of truncated exponentials. International Journal of Approximate Reasoning 45,191-210.
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[preprint]
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Antonio Fernández, María Morales and Antonio Salmerón (2007) Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management. IDA'07. Lecture Notes in Computer Science 4723, 59-69.
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Ildikó Flesch, Antonio Fernández and Antonio Salmerón (2007) Incremental supervised classification for the MTE distribution: a preliminary study.
Proceedings of the CEDI'07-SICO'07, pp. 217-224.
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José A. Gámez, Rafael Rumí and Antonio Salmerón (2006) Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. Proceedings of the Third European Workshop on Probabilistic Graphical Models (PGM'06), pp. 123-132.
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Vanessa Romero, Rafael Rumí, Antonio Salmerón (2006) Learning hybrid Bayesian networks using mixtures of truncated exponentials. International Journal of Approximate Reasoning 42, 54-68.
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Rafael Rumí, Antonio Salmerón and Serafín Moral (2006) Estimating mixtures of truncated exponentials in hybrid Bayesian networks. Test 15, 397-421.
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Rafael Rumí and Antonio Salmerón (2005) Penniless propagation with mixtures of truncated exponentials. ECSQARU'05. Lecture Notes in Artificial Intelligence 3571, 39-50.
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Barry R. Cobb, Rafael Rumí and Antonio Salmerón (2005) Modeling conditional distributions of continuous variables in Bayesian networks. IDA'05. Lecture Notes in Computer Science 3646, 36-45.
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Vanessa Romero, Rafael Rumí and Antonio Salmerón (2004) Structural learning of Bayesian networks with mixtures of truncated exponentials. Proceedings of the Second European Workshop on Probabilistic Graphical Models (PGM'04), pp. 177-184.
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[link]
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Serafín Moral, Rafael Rumí, Antonio Salmerón (2003) Approximating conditional MTE distributions by means of mixed trees. Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2711, 173-183.
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[link]
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Serafín Moral, Rafael Rumí and Antonio Salmerón (2002) Estimating mixtures of truncated exponentials from data. Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 135-143.
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Serafín Moral, Rafael Rumí, Antonio Salmerón (2001) Mixtures of truncated exponentials in hybrid Bayesian networks. Sixth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2143, 156-167.
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[link]
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Approximate inference in Bayesian networks
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Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón (2012)
Fast factorisation of probabilistic potentials and its application to approximate inference in Bayesian networks.
International Journal of Uncertainty, Fuzziness and Knowledge Based Systems (accepted).
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[link]
[preprint]
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Irene Martínez, Carmelo Rodríguez and Antonio Salmerón (2006) Dynamic importance sampling in Bayesian networks using factorisation of probability trees. Proceedings of the Third European Workshop on Probabilistic Graphical Models (PGM'06), pp. 187-194.
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Irene Martínez, Serafín Moral, Carmelo Rodríguez and Antonio Salmerón (2005) Approximate factorisation of probability trees. ECSQARU'05. Lecture Notes in Artificial Intelligence 3571, 51-62.
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Serafín Moral and Antonio Salmerón (2005) Dynamic importance sampling in Bayesian networks based on probability trees. International Journal of Approximate Reasoning 38, 245-261.
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José del Sagrado and Antonio Salmerón (2004) Representing canocical models as probability trees. X Conferencia de la Asociación Española para la Inteligencia Artificial. Lecture Notes in Artificial Intelligence 3040, 478-487.
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Andrés Cano, Serafín Moral and Antonio Salmerón (2003) Novel strategies to approximate probability trees in Penniless propagation. International Journal of Intelligent Systems 18, 193-203.
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Serafín Moral, Antonio Salmerón (2003) Dynamic importance sampling computation in Bayesian networks. Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2711, 137-148.
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Irene Martínez, Serafín Moral, Carmelo Rodríguez and Antonio Salmerón (2002) Factorisation of probability trees and its application to inference in Bayesian networks. Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 127-134.
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Andrés Cano, Serafín Moral and Antonio Salmerón (2002) Lazy evaluation in Penniless propagation over join trees. Networks 39, 175-185.
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Antonio Salmerón, Serafín Moral (2001) Importance sampling in Bayesian networks using antithetic variables. Sixth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2143, 168-179.
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Andrés Cano, Serafín Moral and Antonio Salmerón (2000) Penniless propagation in join trees. International Journal of Intelligent Systems 15, 1027-1059.
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Antonio Salmerón, Andrés Cano, Serafín Moral (2000) Importance sampling in Bayesian networks using probability trees. Computational Statistics and Data Analysis 34, 387-413.
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Luis D. Hernández, Serafín Moral and Antonio Salmerón (1998) A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. International Journal of Approximate Reasoning 18, 53-91.
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[link]
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Luis D. Hernández, Serafín Moral, Antonio Salmerón (1996) Importance sampling algorithms for belief networks based on approximate computation. Proceedings of the IPMU'96 Conference, vol. II, 859-864.
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Applications of Bayesian networks
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Pedro A. Aguilera, Antonio Fernández, Rosa Fernández, Rafael Rumí, Antonio Salmerón (2011)
Bayesian networks in environmental modelling. Environmental Modelling & Sofware 26, 1376-1388.
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Antonio Fernández, María Morales, Carmelo Rodríguez, Antonio
Salmerón (2011) A system for relevance analysis of
performance indicators in higher education using Bayesian
networks. Knowledge and Information Systems 27, 327-344.
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[link]
[preprint]
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Barry R. Cobb, Rafael Rumí, Antonio Salmerón (2009) Predicting stock and portfolio returns using mixtures of truncated exponentials. ECSQARU 2009. Lecture Notes in Computer Science 5590, 781-792.
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[preprint]
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Antonio Fernández, Antonio Salmerón (2008) BayesChess: A computer chess program based on Bayesian networks. Pattern Recognition Letters 29, 1154-1159.
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[preprint]
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José A. Piedra, Antonio Salmerón, F. Guindos and M. Cantón (2005) Reduction of irrelevant features in oceanic satellite images by means of Bayesian networks. Actas de la VI Jornadas de Transferencia de Tecnología en I.A., pp. 133-140.
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[pdf]
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Elvira Consortium (2002) Elvira: An environment for probabilistic graphical models. Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 222-230.
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[link]
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