Technical Reports

2017
Rodriguez-Sanchez, F., P. Larrañaga, and C. Bielza, Multi-facet determination for clustering with Bayesian networks TR:UPM-ETSIINF/DIA/2017-1, : Universidad Politécnica de Madrid, 2017.
2016
Córdoba-Sánchez, I., C. Bielza, and P. Larrañaga, Graphoids and separoids in model theory, , no. TR:UPM-ETSIINF/DIA/2016-1: Universidad Politécnica de Madrid, 2016.
2015
Anton-Sanchez, L., C. Bielza, and P. Larrañaga, Evolutionary computation of forests with Degree- and Role-Constrained Minimum Spanning Trees, : UPM, 2015.
Fernández-González, P., C. Bielza, and P. Larrañaga, Univariate and bivariate truncated von Mises distributions, TR:UPM-ETSINF/DIA/2015-1, : Universidad Politécnica de Madrid, January, 2015.
2014
Varando, G., C. Bielza, and P. Larrañaga, Decision boundary for discrete Bayesian network classifiers, TR:UPM-ETSIINF/DIA/2014-1, : UPM, 2014.
2013
Santana, R., C. Bielza, and P. Larrañaga, Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm, , Technical Report, UPM-FI/DIA/2013-1, Technical University of Madrid, 2013.
2012
Karshenas, H., P. Larrañaga, Q. Zhang, and C. Bielza, An interval-based multi-objective approach to feature subset selection using joint modeling of objectives and variables, , Technical Report, UPM-FI/DIA/2012-1, Technical University of Madrid, 2012.
Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, Multi-objective Estimation of Distribution Algorithm based on joint modelling of objectives and variables, , Technical Report, UPM-FI/DIA/2012-2, Technical University of Madrid, 2012.
2011
Armañanzas, R., C. Bielza, P. Larrañaga, and P. Martínez-Martín, Restating Parkinson's disease severity indices by means of non-motor criteria, , Technical Report, UPM-FI/DIA/2011-2, 2011.
Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, Regularized Model Learning in Estimation of Distribution Algorithms for Continuous Optimization Problems, , Technical Report, UPM-FI/DIA/2011-1, Technical University of Madrid, 2011.
2010
Bielza, C., G. Li, and P. Larrañaga, Multi-Dimensional classification with Bayesian networks, : Universidad Politécnica de Madrid. TR:UPM-FI/DIA/2010-1, 2010.
Lopez-Cruz, P. L., C. Bielza, P. Larrañaga, R. Benavides-Piccione, and J. DeFelipe, Bayesian networks applied to the simulation and modelling of 3D basal dendritic trees from pyramidal neurons, , Universidad Politécnica de Madrid. Tech. Rep. UPM-FI/DIA/2010-2., 2010.
2009
Bielza, C., M. Gómez, and P. Shenoy, Modelling Challenges with Influence Diagrams: Representation Issues, , no. 319: School of Business, University of Kansas, 2009.
Bielza, C., M. Gómez, and P. Shenoy, Modelling Challenges with Influence Diagrams: Constructing Probability and Utility Models, , no. 320: School of Business, University of Kansas, 2009.
Bielza, C., J. A. Fernandez del Pozo, P. Larrañaga, and E. Bengoetxea, Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables, : Facultad de Informática (UPM). UPM.FI/DIA/2009-1, 2009.
Correa, M., and C. Bielza, Explanation of a Bayesian Network Classifier by Means of Decision Trees, , no. UPM-FI-DIA: Universidad Politécnica de Madrid, 2009.
Santana, R., C. Echegoyen, A. Mendiburu, C. Bielza, J. A. Lozano, P. Larrañaga, R. Armañanzas, and S. Shakya, MATEDA: A suite of EDA programs in Matlab, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2/09, 2009.
Santana, R., P. Larrañaga, and J. A. Lozano, Learning factorizations in estimation of distribution algorithms using affinity propagation, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-1/08, 2009.
Vidaurre, D., C. Bielza, and P. Larrañaga, Learning a L1-regularized Gaussian Bayesian network in the equivalence class space, : Facultad de Informática (UPM). UPM.FI/DIA/2009-2, 2009.
2005
Santana, R., P. Larrañaga, and J. A. Lozano, Properties of Kikuchi approximations constructed from clique based decompositions, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2/05, 2005.
2004
Miquelez, T., E. Bengoetxea, and P. Larrañaga, Applying Bayesian classifiers to evolutionary computation, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. KAT-IK-04-01, 2004.
Santafé, G., J. A. Lozano, and P. Larrañaga, Full Bayesian model averaging of naive Bayes for clustering, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-3/04, 2004.
Santafé, G., J. A. Lozano, and P. Larrañaga, El Algoritmo TM para Clasificadores Bayesianos, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2/04, 2004.
2001
Bengoetxea, E., P. Larrañaga, I. Bloch, A. Perchant, and C. Boeres, Inexact graph matching using learning and simulation of probabilistic graphical models, : Ecole Nationale Supérieure des Télécomunications, Paris. 2001D017, 2001.
Blanco, R., I. Inza, and P. Larrañaga, Learning Bayesian networks structures by estimation of distribution algorithms. An empirical comparison among four initializations, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2-01, 2001.
2000
Inza, I., P. Larrañaga, and B. Sierra, Feature weighting for nearest neighbor by estimation of Bayesian networks algorithms, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-3-00, 2000.
Lozano, J. A., C. González, P. Larrañaga, and I. Inza, Analyzing the PBIL algorithm by means of discrete dynamical systems, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2-00, 2000.
Sierra, B., I. Inza, and P. Larrañaga, Inteligencia computacional aplicada a la predicción del voto en encuestas electorales, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-1-00, 2000.
1999
González, C., J. A. Lozano, and P. Larrañaga, The convergence behavior of PBIL algorithm: a preliminar approach, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-3-99, 1999.
Inza, I., P. Larrañaga, R. Etxeberria, and B. Sierra, Feature subset selection by Bayesian networks based optimization, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2-99, 1999.
Inza, I., M. Merino, P. Larrañaga, J. Quiroga, B. Sierra, and L. Girala, Feature subset selection by population–based incremental learning. A case study in the survival of cirrhotic patients treated with TIPS, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-1-99, 1999.
Larrañaga, P., R. Etxeberria, J. A. Lozano, and J. M. Peña, Optimization by learning and simulation of Bayesian and Gaussian networks, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-4-99, 1999.
1998
Bielza, C., and D. Ríos Insua, Modelos Gráficos para la Toma de Decisiones, , no. 98-07: Universidad Rey Juan Carlos, 1998.
Bielza, C., and P. Shenoy, A Comparison of Graphical Techniques for Asymmetric Decision Problems: Supplement to Management Science Paper, , no. 282: School of Business, University of Kansas, 1998.
Inza, I., P. Larrañaga, B. Sierra, and M. Niño, Combination of classifiers. A case study in oncology, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-1-98, 1998.
1996
Bielza, C., and B. Vidakovic, Time Adaptive Wavelet Denoising, , no. 1996-24: Duke University, 1996.
Ríos Insua, D., K. A. Salewicz, P. Müller, and C. Bielza, Bayesian Methods in Reservoir Operations: The Zambezi River Case, , no. 1996-30: Duke University, 1996.
1994
Larrañaga, P., C. M. H. Kuijpers, M. Poza, and R. Murga, Optimal decomposition of Bayesian networks by genetic algorithms, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-3-94, 1994.
Larrañaga, P., C. M. H. Kuijpers, and R. Murga, Tackling the travelling salesman problem with evolutionary algorithms: representations and operators, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-3-94, 1994.
Larrañaga, P., M. Poza, J. A. Diego, and E. Arnaez, Ayuda al diagnóstico de la respuesta a un programa de rehabilitación de toxicómanos, a través de redes causales probabilísticas y árboles de clasificación inducidos por algoritmos genéticos, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-4-94, 1994.