Các bài viết có thể truy cập công khai - Manuel Gómez-Olmedo (mgomez at decsai.ugr.es)Tìm hiểu thêm
Không có ở bất kỳ nơi nào: 8
Virtual subconcept drift detection in discrete data using probabilistic graphical models
R Cabañas, A Cano, M Gómez-Olmedo, AR Masegosa, S Moral
Information Processing and Management of Uncertainty in Knowledge-Based …, 2018
Các cơ quan ủy nhiệm: Government of Spain
Inference in Bayesian networks with recursive probability trees: data structure definition and operations
A Cano, M Gómez‐Olmedo, S Moral, CB Pérez‐Ariza, A Salmerón
International journal of intelligent systems 28 (7), 623-647, 2013
Các cơ quan ủy nhiệm: Government of Spain
Learning with Bayesian networks and probability trees to approximate a joint distribution
A Cano, M Gómez-Olmedo, SMA Masegosa
2011 11th International Conference on Intelligent Systems Design and …, 2011
Các cơ quan ủy nhiệm: Government of Spain
Locally averaged bayesian dirichlet metrics
A Cano, M Gómez-Olmedo, AR Masegosa, S Moral
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2011
Các cơ quan ủy nhiệm: Government of Spain
Extended Probability Trees for Probabilistic Graphical Models
A Cano, M Gómez-Olmedo, S Moral, CB Pérez-Ariza
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht …, 2014
Các cơ quan ủy nhiệm: Government of Spain
Learning recursive probability trees from data
A Cano, M Gómez-Olmedo, S Moral, CB Pérez-Ariza, A Salmerón
Advances in Artificial Intelligence: 15th Conference of the Spanish …, 2013
Các cơ quan ủy nhiệm: Government of Spain
Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions
A Cano, M Gómez-Olmedo, S Moral
Scalable Uncertainty Management: 11th International Conference, SUM 2017 …, 2017
Các cơ quan ủy nhiệm: Government of Spain
An Extended Approach to Learning Recursive Probability Trees from Data
A Cano, M Gómez‐Olmedo, CB Pérez‐Ariza
International Journal of Intelligent Systems 30 (3), 355-383, 2015
Các cơ quan ủy nhiệm: Government of Spain
Có tại một số nơi: 27
A review of representation issues and modeling challenges with influence diagrams
C Bielza, M Gómez, PP Shenoy
Omega 39 (3), 227-241, 2011
Các cơ quan ủy nhiệm: Government of Spain
Approximate counting of graphical models via MCMC revisited
D Sonntag, JM Pena, M Gómez‐Olmedo
International Journal of Intelligent Systems 30 (3), 384-420, 2015
Các cơ quan ủy nhiệm: Swedish Research Council, Government of Spain
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
Các cơ quan ủy nhiệm: Government of Spain
Computation of Kullback–Leibler divergence in Bayesian networks
S Moral, A Cano, M Gómez-Olmedo
Entropy 23 (9), 1122, 2021
Các cơ quan ủy nhiệm: Government of Spain
Evaluating interval-valued influence diagrams
R Cabañas, A Antonucci, A Cano, M Gómez-Olmedo
International Journal of Approximate Reasoning 80, 393-411, 2017
Các cơ quan ủy nhiệm: Government of Spain
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
Các cơ quan ủy nhiệm: Government of Spain
Learning recursive probability trees from probabilistic potentials
A Cano, M Gómez-Olmedo, S Moral, CB Pérez-Ariza, A Salmerón
International Journal of Approximate Reasoning 53 (9), 1367-1387, 2012
Các cơ quan ủy nhiệm: Government of Spain
Learning marginal AMP chain graphs under faithfulness revisited
JM Pena, M Gomez-Olmedo
International Journal of Approximate Reasoning 68, 108-126, 2016
Các cơ quan ủy nhiệm: Swedish Research Council, Government of Spain
On SPI for evaluating influence diagrams
R Cabanas, AL Madsen, A Cano, M Gómez-Olmedo
International Conference on Information Processing and Management of …, 2014
Các cơ quan ủy nhiệm: Government of Spain
Value‐based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models
M Gómez‐Olmedo, R Cabañas, A Cano, S Moral, OP Retamero
International Journal of Intelligent Systems 36 (11), 6913-6943, 2021
Các cơ quan ủy nhiệm: Government of Spain
Improvements to variable elimination and symbolic probabilistic inference for evaluating influence diagrams
R Cabañas, A Cano, M Gómez-Olmedo, AL Madsen
International Journal of Approximate Reasoning 70, 13-35, 2016
Các cơ quan ủy nhiệm: Government of Spain
Variable elimination for interval-valued influence diagrams
R Cabanas, A Antonucci, A Cano, M Gómez-Olmedo
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th …, 2015
Các cơ quan ủy nhiệm: Government of Spain
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