Publicaciones en las que colabora con Guzmán Santafé Rodrigo (12)

2016

  1. scmamp: Statistical comparison of multiple algorithms in multiple problems

    R Journal, Vol. 8, Núm. 1, pp. 248-256

2015

  1. Dealing with the evaluation of supervised classification algorithms

    Artificial Intelligence Review, Vol. 44, Núm. 4, pp. 467-508

  2. bde: un paquete de R para la estimación de densidades con soporte compacto

    XXXV Congreso Nacional SEIO: IX Jornadas de Estadística Pública : Universidad Pública de Navarra, Pamplona, del 26 al 29 de mayo de 2015

2008

  1. Advances on supervised and unsupervised learning of Bayesian network models: application to population genetics

    Advances on supervised and unsupervised learning of Bayesian network models: application to population genetics

  2. Inference of population structure using genetic markers and a Bayesian model averaging approach for clustering

    Journal of Computational Biology, Vol. 15, Núm. 2, pp. 207-220

2007

  1. Discriminative vs. generative learning of Bayesian network classifiers

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

2006

  1. Aprendizaje discriminativo de clasificadores Bayesianos

    Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, Vol. 10, Núm. 29, pp. 39-47

  2. Bayesian model averaging of TAN models for clustering

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

  3. Bayesian model averaging of naive Bayes for clustering

    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 36, Núm. 5, pp. 1149-1161

  4. Machine learning in bioinformatics

    Briefings in Bioinformatics, Vol. 7, Núm. 1, pp. 86-112

2005

  1. Aprendizaje Discriminativo de Clasificadores Bayesianos

    Actas del III Taller Nacional de Minería de Datos y Aprendizaje (Thomson-Paraninfo), pp. 115-123

  2. Discriminative learning of bayesian network classifiers via the TM algorithm

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