Manuel Gómez-Olmedo

According to our database, Manuel Gómez-Olmedo authored at least 43 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Toward Variational Structural Learning of Bayesian Networks.

Andrés R. Masegosa, Manuel Gómez-Olmedo

IEEE Access, 2025

2023

Imprecise probabilistic models based on hierarchical intervals.

Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo

Inf. Sci., August, 2023

2021

Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models.

Manuel Gómez-Olmedo, Rafael Cabañas, Andrés Cano, Serafín Moral, Ofelia P. Retamero

Int. J. Intell. Syst., 2021

Computation of Kullback-Leibler Divergence in Bayesian Networks.

Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo

Entropy, 2021

2020

MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Serafín Moral-García

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

Learning Sets of Bayesian Networks.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

A Bayesian approach to abrupt concept drift.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral

Knowl. Based Syst., 2019

2018

Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models.

Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017

Evaluating interval-valued influence diagrams.

Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo

Int. J. Approx. Reason., 2017

Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral

Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

2016

Using Binary Trees for the Evaluation of Influence Diagrams.

Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Learning marginal AMP chain graphs under faithfulness revisited.

José M. Peña, Manuel Gómez-Olmedo

Int. J. Approx. Reason., 2016

Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams.

Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen

Int. J. Approx. Reason., 2016

2015

Approximate Counting of Graphical Models via MCMC Revisited.

Dag Sonntag, José M. Peña, Manuel Gómez-Olmedo

Int. J. Intell. Syst., 2015

An Extended Approach to Learning Recursive Probability Trees from Data.

Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza

Int. J. Intell. Syst., 2015

Variable Elimination for Interval-Valued Influence Diagrams.

Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Special Issue on PGM-2012.

Andrés Cano, Manuel Gómez-Olmedo, Thomas Dyhre Nielsen

Int. J. Approx. Reason., 2014

Extended Probability Trees for Probabilistic Graphical Models.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

On SPI-Lazy Evaluation of Influence Diagrams.

Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

On SPI for Evaluating Influence Diagrams.

Rafael Cabañas, Anders L. Madsen, Andrés Cano, Manuel Gómez-Olmedo

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2013

Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón

Int. J. Intell. Syst., 2013

Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks.

Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral

Int. J. Approx. Reason., 2013

Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees.

Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Evaluating Asymmetric Decision Problems with Binary Constraint Trees.

Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Learning Recursive Probability Trees from Data.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora Beatriz Pérez-Ariza, Antonio Salmerón

Proceedings of the Advances in Artificial Intelligence, 2013

Approximate Lazy Evaluation of Influence Diagrams.

Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Fast Factorisation of Probabilistic Potentials and its Application to Approximate Inference in Bayesian Networks.

Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Learning recursive probability trees from probabilistic potentials.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón

Int. J. Approx. Reason., 2012

2011

Approximate inference in Bayesian networks using binary probability trees.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral

Int. J. Approx. Reason., 2011

Learning with Bayesian networks and probability trees to approximate a joint distribution.

Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Locally Averaged Bayesian Dirichlet Metrics.

Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning.

Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

2009

Binary Probability Trees for Bayesian Networks Inference.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Recursive Probability Trees for Bayesian Networks.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza

Proceedings of the Current Topics in Artificial Intelligence, 2009

2008

Development of the XML Digital Library from the Parliament of Andalucía for Intelligent Structured Retrieval.

Juan M. Fernández-Luna, Juan F. Huete, Manuel Gómez-Olmedo, Carlos J. Martín-Dancausa

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

2007

Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Joaquín Abellán

Int. J. Approx. Reason., 2007

2006

A forward-backward Monte Carlo method for solving influence diagrams.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral

Int. J. Approx. Reason., 2006

Measures of divergence on credal sets.

Joaquín Abellán, Manuel Gómez-Olmedo

Fuzzy Sets Syst., 2006

Varying Parameter in Classification Based on Imprecise Probabilities.

Joaquín Abellán, Serafín Moral, Manuel Gómez-Olmedo, Andrés R. Masegosa

Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Some Variations on the PC Algorithm.

Joaquín Abellán, Manuel Gómez-Olmedo, Serafín Moral

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005

Application of a hill-climbing algorithm to exact and approximate inference in credal networks.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral

Proceedings of the ISIPTA '05, 2005

A Decision-Based Approach for Recommending in Hierarchical Domains.

Luis M. de Campos, Juan M. Fernández-Luna, Manuel Gómez-Olmedo, Juan F. Huete

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2003

Applying Numerical Trees to Evaluate Asymmetric Decision Problems.

Manuel Gómez-Olmedo, Andrés Cano

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003