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Antonio Salmerón: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. José Del Sagrado, Antonio Salmerón
    Representing Canonical Models as Probability Trees. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2003, pp:478-487 [Conf]
  2. Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
    Approximate Factorisation of Probability Trees. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:51-62 [Conf]
  3. Serafín Moral, Rafael Rumí, Antonio Salmerón
    Mixtures of Truncated Exponentials in Hybrid Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2001, pp:156-167 [Conf]
  4. Serafín Moral, Rafael Rumí, Antonio Salmerón
    Approximating Conditional MTE Distributions by Means of Mixed Trees. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2003, pp:173-183 [Conf]
  5. Serafín Moral, Antonio Salmerón
    Dynamic Importance Sampling Computation in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2003, pp:137-148 [Conf]
  6. Serafín Moral, Antonio Salmerón
    A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation. [Citation Graph (0, 0)][DBLP]
    ESCQARU, 1999, pp:305-315 [Conf]
  7. Rafael Rumí, Antonio Salmerón
    Penniless Propagation with Mixtures of Truncated Exponentials. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:39-50 [Conf]
  8. Antonio Salmerón, Serafín Moral
    Importance Sampling in Bayesian Networks Using Antithetic Variables. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2001, pp:168-179 [Conf]
  9. Barry R. Cobb, Rafael Rumí, Antonio Salmerón
    Modeling Conditional Distributions of Continuous Variables in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:36-45 [Conf]
  10. Fernando Reche, Antonio Salmerón
    Towards an Operational Interpretation of Fuzzy Measures. [Citation Graph (0, 0)][DBLP]
    ISIPTA, 1999, pp:312-318 [Conf]
  11. Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
    Factorisation of Probability Trees and its Application to Inference in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  12. Serafín Moral, Rafael Rumí, Antonio Salmerón
    Estimating Mixtures of Truncated Exponentials from Data. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  13. Andrés Cano, Serafín Moral, Antonio Salmerón
    Different strategies to approximate probability trees in penniless propagation. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2002, v:15, n:, pp:- [Journal]
  14. Luis D. Hernández, Serafín Moral, Antonio Salmerón
    A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1998, v:18, n:1-2, pp:53-91 [Journal]
  15. Peter J. F. Lucas, José A. Gámez, Antonio Salmerón
    Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:1-3 [Journal]
  16. Serafín Moral, Antonio Salmerón
    Dynamic importance sampling in Bayesian networks based on probability trees. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2005, v:38, n:3, pp:245-261 [Journal]
  17. Vanessa Romero, Rafael Rumí, Antonio Salmerón
    Learning hybrid Bayesian networks using mixtures of truncated exponentials. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:54-68 [Journal]
  18. José A. Gámez, Antonio Salmerón
    Probabilistic graphical models. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:2, pp:149-151 [Journal]
  19. Andrés Cano, Serafín Moral, Antonio Salmerón
    Penniless propagation in join trees. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2000, v:15, n:11, pp:1027-1059 [Journal]
  20. Andrés Cano, Serafín Moral, Antonio Salmerón
    Novel strategies to approximate probability trees in penniless propagation. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:2, pp:193-203 [Journal]
  21. Fernando Reche, Antonio Salmerón
    Operational Approach to General Fuzzy Measures. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, v:8, n:3, pp:369-382 [Journal]
  22. Andrés Cano, Serafín Moral, Antonio Salmerón
    Lazy evaluation in penniless propagation over join trees. [Citation Graph (0, 0)][DBLP]
    Networks, 2002, v:39, n:4, pp:175-185 [Journal]
  23. Antonio Fernández, María Morales, Antonio Salmerón
    Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:59-69 [Conf]
  24. Rafael Rumí, Antonio Salmerón
    Approximate probability propagation with mixtures of truncated exponentials. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:45, n:2, pp:191-210 [Journal]

  25. Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials. [Citation Graph (, )][DBLP]


  26. Maximum Likelihood Learning of Conditional MTE Distributions. [Citation Graph (, )][DBLP]


  27. Extension of Bayesian Network Classifiers to Regression Problems. [Citation Graph (, )][DBLP]


  28. Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. [Citation Graph (, )][DBLP]


  29. Dynamic importance sampling in Bayesian networks using factorisation of probability trees. [Citation Graph (, )][DBLP]


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