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Tag structure-learning [11 articles]

Recent papers classified by the tag structure-learning.
  • Learning the Structure of Linear Latent Variable Models
    J. Mach. Learn. Res., Vol. 7 (2006), pp. 191-246.
    by Ricardo Silva, Richard Scheine, Clark Glymour, Peter Spirtes
    posted to graphical-models latent-variables structure-learning by mmunson on 2007-09-07 20:54:38 as ***
  • Building Blocks for Variational Bayesian Learning of Latent Variable Models
    J. Mach. Learn. Res., Vol. 8 (2007), pp. 155-201.
    by Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen
    posted to bayesian-networks factor-analysis minimum-description-length structure-learning by mmunson on 2007-10-02 15:13:09 as **
  • Active Learning for Structure in Bayesian Networks
    (2001)
    by S Tong, D Koller
    posted to bayes structure-learning by helsley on 2007-09-11 05:21:47 as *** along with 2 people wnpx anon_pl
  • An effective structure learning method for constructing gene networks
    Bioinformatics, Vol. 22, No. 11. (1 June 2006), pp. 1367-1374.
    by Chen, Xue-Wen, Anantha, Gopalakrishna, Wang, Xinkun
    posted to bayes graphical-models structure-learning by helsley on 2007-09-09 18:19:09 as *** along with 1 person heliopais
  • Improving Markov Chain Monte Carlo Model Search for Data Mining
    Machine Learning, Vol. 50, No. 1. (1 January 2003), pp. 127-158.
    by Paolo Giudici, Robert Castelo
    posted to structure-learning by helsley on 2007-11-03 01:07:47 as read along with 1 person naegele
  • PAC-learning bounded tree-width graphical models
    (2004), pp. 410-417.
    by Mukund Narasimhan, Jeff Bilmes
    posted to _cited-by-nips2007 graphical-models junction-trees markov-networks structure-learning by chechetka on 2007-04-26 05:58:03 as read along with 1 person roys
  • Approximating discrete probability distributions with dependence trees
    IEEE Transactions on Information Theory, Vol. 14, No. 3. (1968), pp. 462-467.
    by C Chow, C Liu
    posted to _cited-by-nips2007 graphical-models structure-learning by chechetka on 2007-04-29 20:00:23 as *** along with 7 people and 1 group pcarbo bpacker pliz craigtalbert dwf roys tkollar vision-ng
  • Inducing Features of Random Fields
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 4. (April 1997), pp. 380-393.
    by Stephen Della Pietra, Vincent Della Pietra, John Lafferty
    posted to _cited-by-nips2007 graphical-models markov-networks structure-learning by chechetka on 2007-04-29 20:13:29 as read along with 4 people and 2 groups alterego bhaddow whym mmunson ReachGrasp ComputationalCognitiveNeuroscienceLab
  • Learning with mixtures of trees
    Journal of Machine Learning Research, Vol. 1 (2001), pp. 1-48.
    by Marina Meil\ua, Michael I Jordan
    posted to _cited-by-nips2007 graphical-models structure-learning by chechetka on 2007-04-29 19:58:53 as read
  • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
    Machine Learning Journal, Vol. V50, No. 1. (1 January 2003), pp. 95-125.
    by Nir Friedman, Daphne Koller
    posted to _cited-by-nips2007 graphical-models structure-learning by chechetka on 2007-04-29 06:30:02 as read along with 5 people and 1 group garyfeng Borelli wnpx quianominorleo naegele ReadingLab
  • Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)
    (08 January 2001)
    by Peter Spirtes, Clark Glymour, Richard Scheines
    posted to _cited-by-nips2007 graphical-models markov-networks structure-learning by chechetka on 2007-04-29 22:01:51 as ** along with 4 people wnpx naegele frohike rsantana
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