Manuel Gómez-Olmedo (mgomez at decsai.ugr.es) 个人学术档案

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Andrés CanoDepartment of Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Serafín MoralDept. Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Concha BielzaProfessor of Statistics and Operations Research, Technical University of Madrid在 fi.upm.es 的电子邮件经过验证
Juan A. Fernández del PozoAssociate Professor, b. Universidad Politécnica de Madrid在 fi.upm.es 的电子邮件经过验证
Rafael CabañasUniversity of Almería在 ual.es 的电子邮件经过验证
Joaquín AbellánProfesor del departamento de Ciencias de la Computación e Inteligencia Artificial (UGR)在 decsai.ugr.es 的电子邮件经过验证
Cora Beatriz Pérez-ArizaPhD fellow, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Andres R. MasegosaUniversity of Aalborg在 cs.aau.dk 的电子邮件经过验证
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg University在 hugin.com 的电子邮件经过验证
Antonio SalmerónUniversity of Almería, Spain在 ual.es 的电子邮件经过验证
Prakash P. ShenoyUniversity of Kansas School of Business在 ku.edu 的电子邮件经过验证
Alessandro AntonucciSenior Lecturer-Researcher at IDSIA在 idsia.ch 的电子邮件经过验证
Juan Manuel Fernández LunaUniversity of Granada在 decsai.ugr.es 的电子邮件经过验证
Juan HueteUniversity Granada在 decsai.ugr.es 的电子邮件经过验证
Luis M. de CamposProfessor of Computer Science and Artificial Intelligence, Universidad de Granada, Spain在 decsai.ugr.es 的电子邮件经过验证
Carlos Martín-DancausaBanco Santander在 gruposantander.com 的电子邮件经过验证
Thomas Dyhre NielsenAalborg University在 cs.aau.dk 的电子邮件经过验证
Alfonso Mateos CaballeroUniversidad Politécnica de Madrid在 fi.upm.es 的电子邮件经过验证
Jesús González PeñalverCatedrático de Universidad, Universidad de Granada在 ugr.es 的电子邮件经过验证
Jose M. BenitezFull Professor, Universidad de Granada在 decsai.ugr.es 的电子邮件经过验证

关注

Manuel Gómez-Olmedo (mgomez at decsai.ugr.es)

Department of Computer Science and Artificial Intelligence, Universidad de Granada

在 decsai.ugr.es 的电子邮件经过验证

Bayesian netowrks influence diagrams decision support systems


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Some Variations on the PC Algorithm. J Abellán, M Gómez-Olmedo, S Moral Probabilistic graphical models, 1-8, 2006	72	2006
A review of representation issues and modeling challenges with influence diagrams C Bielza, M Gómez, PP Shenoy Omega 39 (3), 227-241, 2011	47	2011
Modeling challenges with influence diagrams: Constructing probability and utility models C Bielza, M Gomez, PP Shenoy Decision Support Systems 49 (4), 354-364, 2010	43	2010
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	41	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	41	2007
Operativización de los estilos de vida mediante la distribución del tiempo en personas mayores de 50 años M Gómez Granada: Universidad de Granada, 2005	35	2005
La solución de problemas en ciencias de la naturaleza J Pozo, M Gómez Crespo La solución de problemas. Madrid: Santillana, 85-126, 1994	35	1994
Measures of divergence on credal sets J Abellán, M Gómez Fuzzy sets and systems 157 (11), 1514-1531, 2006	33	2006
La influencia de la familia en el hábito lector A Pérez, M Gómez Criterios de selección, 2011	32	2011
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	32	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	29	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	28	2005
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	27	2006
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	26	2011
El aprendizaje de conceptos científicos: del aprendizaje significativo al cambio conceptual JI Pozo, M Gómez Aprender a enseñar ciencias. Madrid: Morata, 84-127, 1998	26	1998
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	23	2015
Real-world applications of influence diagrams M Gómez Advances in Bayesian networks, 161-180, 2004	17	2004
Applying numerical trees to evaluate asymmetric decision problems M Gómez, A Cano Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 196-207, 2004	17	2004
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	16	2013
Node deletion sequences in influence diagrams using genetic algorithms M Gómez, C Bielza Statistics and Computing 14, 181-198, 2004	16	2004

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