Publicaciones en colaboración con investigadores/as de Universidad de Almería (20)

2015

  1. Recent advances in probabilistic graphical models

    International Journal of Intelligent Systems

2013

  1. Inference in Bayesian networks with recursive probability trees: Data structure definition and operations

    International Journal of Intelligent Systems, Vol. 28, Núm. 7, pp. 623-647

  2. Learning recursive probability trees from data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. New strategies for finding multiplicative decompositions of probability trees

    Applied Mathematics and Computation, Vol. 225, pp. 573-589

2012

  1. Learning recursive probability trees from probabilistic potentials

    International Journal of Approximate Reasoning

2010

  1. Learning recursive probability trees from probabilistic potentials

    Proceedings of the 5th European Workshop on Probabilistic Graphical Models, PGM 2010

2005

  1. Approximate factorisation of probability trees

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Dynamic importance sampling in Bayesian networks based on probability trees

    International Journal of Approximate Reasoning

2003

  1. Approximating conditional MTE distributions by means of mixed trees

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  2. Dynamic importance sampling computation in Bayesian networks

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  3. Novel strategies to approximate probability trees in Penniless propagation

    International Journal of Intelligent Systems, Vol. 18, Núm. 2, pp. 193-203

  4. Qualitative combination of Bayesian networks

    International Journal of Intelligent Systems, Vol. 18, Núm. 2, pp. 237-249

2002

  1. Lazy Evaluation in Penniless Propagation over Join Trees

    Networks, Vol. 39, Núm. 4, pp. 175-185

2001

  1. Importance sampling in Bayesian networks using antithetic variables

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  2. Mixtures of truncated exponentials in hybrid Bayesian networks

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2000

  1. Importance sampling in Bayesian networks using probability trees

    Computational Statistics and Data Analysis, Vol. 34, Núm. 4, pp. 387-413

1999

  1. A monte carlo algorithm for combining dempster-shafer belief based on approximate pre-computation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)