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Using Value-Based Potentials for Making Approximate Inference on Probabilistic Graphical Models.
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- Mathematics (2227-7390), 2022, v. 10, n. 14, p. N.PAG, doi. 10.3390/math10142542
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Value‐based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models.
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- International Journal of Intelligent Systems, 2021, v. 36, n. 11, p. 6913, doi. 10.1002/int.22573
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Computation of Kullback–Leibler Divergence in Bayesian Networks.
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- Entropy, 2021, v. 23, n. 9, p. 1122, doi. 10.3390/e23091122
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MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation.
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- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 2020, v. 28, n. 5, p. 785, doi. 10.1142/S0218488520500348
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Using Binary Trees for the Evaluation of Influence Diagrams.
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- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 2016, v. 24, n. 1, p. 59, doi. 10.1142/S0218488516500045
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An Extended Approach to Learning Recursive Probability Trees from Data.
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- International Journal of Intelligent Systems, 2015, v. 30, n. 3, p. 355, doi. 10.1002/int.21703
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- Article
Approximate Counting of Graphical Models via MCMC Revisited.
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- International Journal of Intelligent Systems, 2015, v. 30, n. 3, p. 384, doi. 10.1002/int.21704
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- Article
Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations.
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- International Journal of Intelligent Systems, 2013, v. 28, n. 7, p. 623, doi. 10.1002/int.21587
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- Article
FAST FACTORISATION OF PROBABILISTIC POTENTIALS AND ITS APPLICATION TO APPROXIMATE INFERENCE IN BAYESIAN NETWORKS.
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- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 2012, v. 20, n. 2, p. 223, doi. 10.1142/S0218488512500110
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