Manuel Gómez-Olmedo (mgomez at
Manuel Gómez-Olmedo (mgomez at
Department of Computer Science and Artificial Intelligence, Universidad de Granada
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Some Variations on the PC Algorithm.
J Abellán, M Gómez-Olmedo, S Moral
Probabilistic Graphical Models, 1-8, 2006
A review of representation issues and modeling challenges with influence diagrams
C Bielza, M Gómez, PP Shenoy
Omega 39 (3), 227-241, 2011
A graphical decision-theoretic model for neonatal jaundice
M Gomez, C Bielza, JA Fernández del Pozo, S Rios-Insua
Medical Decision Making 27 (3), 250-265, 2007
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks
A Cano, M Gómez, S Moral, J Abellán
International journal of approximate reasoning 44 (3), 261-280, 2007
Modeling challenges with influence diagrams: Constructing probability and utility models
C Bielza, M Gomez, PP Shenoy
Decision Support Systems 49 (4), 354-364, 2010
A score based ranking of the edges for the PC algorithm
A Cano, M Gómez-Olmedo, S Moral
Proceedings of the Fourth European Workshop on Probabilistic Graphical …, 2008
Structural, elicitation and computational issues faced when solving complex decision making problems with influence diagrams
C Bielza, M Gómez, S Ríos-Insua, JA del Pozo
Computers & Operations Research 27 (7-8), 725-740, 2000
A list-based compact representation for large decision tables management
JAF del Pozo, C Bielza, M Gómez
European Journal of Operational Research 160 (3), 638-662, 2005
Measures of divergence on credal sets
J Abellán, M Gómez
Fuzzy sets and systems 157 (11), 1514-1531, 2006
A forward-backward Monte Carlo method for solving influence diagrams
A Cano, M Gómez, S Moral
International journal of approximate reasoning 42 (1-2), 119-135, 2006
Sensitivity analysis in IctNeo
C Bielza, S Ríos-Insua, M Gómez, JAF del Pozo
Robust Bayesian Analysis, 317-334, 2000
Approximate counting of graphical models via MCMC revisited
D Sonntag, JM Peña, M Gómez‐Olmedo
International Journal of Intelligent Systems 30 (3), 384-420, 2015
Approximate inference in Bayesian networks using binary probability trees
A Cano, M Gómez-Olmedo, S Moral
International Journal of Approximate Reasoning 52 (1), 49-62, 2011
Node deletion sequences in influence diagrams using genetic algorithms
M Gómez, C Bielza
Statistics and Computing 14 (3), 181-198, 2004
Real-world applications of influence diagrams
M Gómez
Advances in Bayesian networks, 161-180, 2004
Applying numerical trees to evaluate asymmetric decision problems
M Gómez, A Cano
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 196-207, 2004
Recursive probability trees for Bayesian networks
A Cano, M Gómez-Olmedo, S Moral, CB Pérez-Ariza
Conference of the Spanish Association for Artificial Intelligence, 242-251, 2009
Evaluating interval-valued influence diagrams
R Cabañas, A Antonucci, A Cano, M Gómez-Olmedo
International Journal of Approximate Reasoning 80, 393-411, 2017
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
A Cano, M GóMez-Olmedo, AR Masegosa, S Moral
International journal of approximate reasoning 54 (4), 526-540, 2013
Approximate inference in influence diagrams using binary trees
RC de Paz, M Gómez-Olmedo, A Cano
Proceedings of the 6th European Workshop on Probabilistic Graphical Models …, 2012
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