Andrés Cano

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Serafín MoralDept. Computer Science and Artificial Intelligence, University of GranadaEmail yang diverifikasi di decsai.ugr.es
Manuel Gómez-Olmedo (mgomez at d...Department of Computer Science and Artificial Intelligence, Universidad de GranadaEmail yang diverifikasi di decsai.ugr.es
Antonio Salmerón (ORCID: 0000-0003...University of Almería, SpainEmail yang diverifikasi di ual.es
Andres R. MasegosaUniversity of AalborgEmail yang diverifikasi di cs.aau.dk
Rafael CabañasUniversity of AlmeríaEmail yang diverifikasi di ual.es
Cora Beatriz Pérez-ArizaPhD fellow, University of GranadaEmail yang diverifikasi di decsai.ugr.es
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityEmail yang diverifikasi di hugin.com
Joaquín AbellánProfesor del departamento de Ciencias de la Computación e Inteligencia Artificial (UGR)Email yang diverifikasi di decsai.ugr.es
Luis M. de CamposProfessor of Computer Science and Artificial Intelligence, Universidad de Granada, SpainEmail yang diverifikasi di decsai.ugr.es
Alessandro AntonucciSenior Lecturer-Researcher at IDSIAEmail yang diverifikasi di idsia.ch
Juan Manuel Fernández LunaUniversity of GranadaEmail yang diverifikasi di decsai.ugr.es
Thomas LukasiewiczVienna University of Technology, Austria; University of Oxford, UKEmail yang diverifikasi di tuwien.ac.at
Fabio Gagliardi CozmanUniversidade de Sao PauloEmail yang diverifikasi di usp.br
Jose A. Gámez (ORCID: 0000-0003-1...Universidad de Castilla-La Mancha, Albacete, SpainEmail yang diverifikasi di uclm.es
Thomas Dyhre NielsenAalborg UniversityEmail yang diverifikasi di cs.aau.dk

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Andrés Cano

Department of Computer Science and Artificial Intelligence, University of Granada

Email yang diverifikasi di decsai.ugr.es - Beranda

Bayesian networks imprecise probabilities probabilistic graphical models data mining data science


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Elvira: An environment for creating and using probabilistic graphical models Elvira Consortium Proceedings of the first European workshop on probabilistic graphical models …, 2002	192	2002
Importance sampling in Bayesian networks using probability trees A Salmerón, A Cano, S Moral Computational statistics & data analysis 34 (4), 387-413, 2000	132	2000
Penniless propagation in join trees A Cano, S Moral, A Salmerón International Journal of Intelligent Systems 15 (11), 1027-1059, 2000	95	2000
A method for integrating expert knowledge when learning Bayesian networks from data A Cano, AR Masegosa, S Moral IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011	86	2011
Heuristic algorithms for the triangulation of graphs A Cano, S Moral Advances in Intelligent Computing—IPMU'94: 5th International Conference on …, 1995	86	1995
Using probability trees to compute marginals with imprecise probabilities A Cano, S Moral International Journal of Approximate Reasoning 29 (1), 1-46, 2002	73	2002
Convex sets of probabilities propagation by simulated annealing A Cano, JE Cano, S Moral Proceedings of the Fith International Conference on Information Processing …, 1994	64	1994
Lazy evaluation in Penniless propagation over join trees A Cano, S Moral, A Salmeron Networks: An International Journal 39 (4), 175-185, 2002	53	2002
Strong conditional independence for credal sets S Moral, A Cano Annals of Mathematics and Artificial Intelligence 35, 295-321, 2002	50	2002
A genetic algorithm to approximate convex sets of probabilities A Cano, S Moral IPMU 96, 859-864, 1996	49	1996
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	44	2007
Bayesian networks classifiers for gene-expression data LM De Campos, A Cano, JG Castellano, S Moral 2011 11th International Conference on Intelligent Systems Design and …, 2011	43	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	34	2008
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	28	2006
A Review of Propagation Algorithms for Imprecise Probabilities A Cano, S Moral FIRST INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR …, 1999	28	1999
Approximate inference in Bayesian networks using binary probability trees A Cano, M Gémez-Olmedo, S Moral International Journal of Approximate Reasoning 52 (1), 49-62, 2011	27	2011
Propagación exacta y aproximada con árboles de probabilidad A Cano, S Moral Actas de la VII Conferencia de la Asociación Espanola para la Inteligencia …, 1997	27	1997
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	20	2013
Computation of Kullback–Leibler divergence in Bayesian networks S Moral, A Cano, M Gómez-Olmedo Entropy 23 (9), 1122, 2021	19	2021
Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions LM de Campos, A Cano, JG Castellano, S Moral Statistical Applications in Genetics and Molecular Biology 18 (3), 20180042, 2019	19	2019

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