Publicaciones en colaboración con investigadores/as de Universidad de Castilla-La Mancha (14)

2008

  1. Use of explanation trees to describe the state space of a probabilistic-based abduction problem

    Studies in Computational Intelligence, Vol. 156, pp. 251-280

2006

  1. The independency tree model: A new approach for clustering and factorisation

    Proceedings of the 3rd European Workshop on Probabilistic Graphical Models, PGM 2006

2005

  1. Abductive inference in Bayesian networks: Finding a partition of the explanation space

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

2003

  1. An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests

    International Journal of Intelligent Systems, Vol. 18, Núm. 2, pp. 221-235

  2. Partial abductive inference in Bayesian networks by using probability trees

    ICEIS 2003 - Proceedings of the 5th International Conference on Enterprise Information Systems

2002

  1. Ant colony optimization for learning Bayesian networks

    International Journal of Approximate Reasoning, Vol. 31, Núm. 3, pp. 291-311

  2. Local search methods for learning Bayesian networks using a modified neighborhood in the space of DAGs

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

  3. Partial abductive inference in Bayesian belief networks - An evolutionary computation approach by using problem-specific genetic operators

    IEEE Transactions on Evolutionary Computation, Vol. 6, Núm. 2, pp. 105-131

2001

  1. Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption

    International Journal of Approximate Reasoning, Vol. 27, Núm. 2, pp. 121-142

  2. Partial abductive inference in Bayesian belief networks by simulated annealing

    International Journal of Approximate Reasoning, Vol. 27, Núm. 3, pp. 263-283

  3. Simplifying explanations in Bayesian belief networks

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 9, Núm. 4, pp. 461-489

  4. Stochastic local algorithms for learning belief networks: Searching in the space of the orderings

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

1999

  1. Partial abductive inference in Bayesian belief networks using a genetic algorithm

    Pattern Recognition Letters, Vol. 20, Núm. 11-13, pp. 1211-1217