Graphoids and separoids in model theory,
, no. TR:UPM-ETSIINF/DIA/2016-1: Universidad Politécnica de Madrid, 2016.
Evolutionary computation of forests with Degree- and Role-Constrained Minimum Spanning Trees,
: UPM, 2015.
Univariate and bivariate truncated von Mises distributions, TR:UPM-ETSINF/DIA/2015-1,
: Universidad Politécnica de Madrid, January, 2015.
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.
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.
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.
Restating Parkinson's disease severity indices by means of non-motor criteria,
, Technical Report, UPM-FI/DIA/2011-2, 2011.
Regularized Model Learning in Estimation of Distribution Algorithms for Continuous Optimization Problems,
, Technical Report, UPM-FI/DIA/2011-1, Technical University of Madrid, 2011.
Multi-Dimensional classification with Bayesian networks,
: Universidad Politécnica de Madrid. TR:UPM-FI/DIA/2010-1, 2010.
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.
Modelling Challenges with Influence Diagrams: Constructing Probability and Utility Models,
, no. 320: School of Business, University of Kansas, 2009.
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.
Modelling Challenges with Influence Diagrams: Representation Issues,
, no. 319: School of Business, University of Kansas, 2009.
Explanation of a Bayesian Network Classifier by Means of Decision Trees,
, no. UPM-FI-DIA: Universidad Politécnica de Madrid, 2009.
MATEDA: A suite of EDA programs in Matlab,
: Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2/09, 2009.
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.
Learning a L1-regularized Gaussian Bayesian network in the equivalence class space,
: Facultad de Informática (UPM). UPM.FI/DIA/2009-2, 2009.
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.
Applying Bayesian classifiers to evolutionary computation,
: Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. KAT-IK-04-01, 2004.
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.
El Algoritmo TM para Clasificadores Bayesianos,
: Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2/04, 2004.
Inexact graph matching using learning and simulation of probabilistic graphical models,
: Ecole Nationale Supérieure des Télécomunications, Paris. 2001D017, 2001.
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.
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.
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.
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.
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.
Feature subset selection by Bayesian networks based optimization,
: Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2-99, 1999.
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.
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.
A Comparison of Graphical Techniques for Asymmetric Decision Problems: Supplement to Management Science Paper,
, no. 282: School of Business, University of Kansas, 1998.
Modelos Gráficos para la Toma de Decisiones,
, no. 98-07: Universidad Rey Juan Carlos, 1998.
Combination of classifiers. A case study in oncology,
: Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-1-98, 1998.
Time Adaptive Wavelet Denoising,
, no. 1996-24: Duke University, 1996.
Bayesian Methods in Reservoir Operations: The Zambezi River Case,
, no. 1996-30: Duke University, 1996.
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.
Optimal decomposition of Bayesian networks by genetic algorithms,
: Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-3-94, 1994.
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.