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

, , , and . ISMIS, volume 4994 of Lecture Notes in Computer Science, page 417-423. Springer, (2008)

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Binary Probability Trees for Bayesian Networks Inference., , and . ECSQARU, volume 5590 of Lecture Notes in Computer Science, page 180-191. Springer, (2009)Fast Factorisation of Probabilistic Potentials and its Application to Approximate Inference in Bayesian Networks., , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20 (2): 223-243 (2012)Learning marginal AMP chain graphs under faithfulness revisited., and . Int. J. Approx. Reason., (2016)Learning recursive probability trees from probabilistic potentials., , , , and . Int. J. Approx. Reason., 53 (9): 1367-1387 (2012)Learning Sets of Bayesian Networks., , and . IPMU (2), volume 1238 of Communications in Computer and Information Science, page 151-164. Springer, (2020)On SPI for Evaluating Influence Diagrams., , , and . IPMU (1), volume 442 of Communications in Computer and Information Science, page 506-516. Springer, (2014)Using Binary Trees for the Evaluation of Influence Diagrams., , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 24 (1): 59-90 (2016)Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks., , , and . Int. J. Approx. Reason., 54 (4): 526-540 (2013)Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks., , , and . Int. J. Approx. Reason., 44 (3): 261-280 (2007)Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams., , , and . Int. J. Approx. Reason., (2016)