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di vlachmore sampling [18 articles]

Articoli aggiunti di recente alla biblioteca di vlachmore classificati sotto il tag sampling. You can also see everyone's sampling.
  • Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
    Biometrika, Vol. 95, No. 1. (6 March 2008), pp. 169-186.
    posted to gibbs sampling by vlachmore on 2008-08-11 14:02:52 as **
  • Gibbs Sampling Methods for Stick Breaking Priors
    Journal of the American Statistical Association (March 2001), pp. 161-173.
    posted to blocked gibbs non-parametric sampling by vlachmore on 2008-08-10 21:45:48 as **
  • Markov Chain Monte Carlo and Gibbs Sampling
    (2004)
    by B Walsh
    posted to carlo gibbs monte sampling tutorial by vlachmore on 2008-08-05 14:58:09 as ** along with 1 person bhaddow
  • Markov chain sampling methods for Dirichlet process mixture models
    by Radford Neal
    posted to dirichlet mixture models process sampling software by vlachmore on 2008-08-04 19:31:17 as **
  • Explaining the Gibbs Sampler
    The American Statistician, Vol. 46, No. 3. (1992), pp. 167-174.
    by George Casella, Edward I George
  • Particle Filtering for Nonparametric Bayesian Matrix Factorization
    (2007), pp. 1513-1520.
    by Frank Wood, Thomas L Griffiths
    edited by B Schölkopf, J Platt, T Hoffman
    posted to buffet filtering ibp indian particle process sampling by vlachmore on 2008-01-25 18:11:30 as *****
  • An introduction to MCMC for machine learning
    (2003)
  • A permutation-augmented sampler for DP mixture models
    (2007), pp. 545-552.
    by Percy Liang, Michael I Jordan, Ben Taskar
  • Stick-breaking Construction for the Indian Buffet Process
    (2007)
    by Yee W Teh, Dilan Görür, Zoubin Ghahramani
  • A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations
    Comput. Linguist., Vol. 33, No. 3. (September 2007), pp. 305-354.
    by Ping Li, Kenneth W Church
  • Optimising Selective Sampling for Bootstrapping Named Entity Recognition
    (2005)
    by M Becker, B Hachey, B Alex, C Grover
  • Support Vector Machine Active Learning with Applications to Text Classification
    (2000), pp. 999-1006.
    by Simon Tong, Daphne Koller
    edited by Pat Langley
  • Query Learning with Large Margin Classifiers
    (2000), pp. 111-118.
    by Colin Campbell, Nello Cristianini, Alex J Smola
  • Support vector machine active learning with applications to text classification
    J. Mach. Learn. Res., Vol. 2 (2002), pp. 45-66.
    by Simon Tong, Daphne Koller
  • Less is More: Active Learning with Support Vector Machines
    (2000), pp. 839-846.
    by Greg Schohn, David Cohn
  • Markov Chain Sampling Methods for Dirichlet Process Mixture Models
    Journal of Computational and Graphical Statistics, Vol. 9, No. 2. (2000), pp. 249-265.
    by Radford M Neal
  • A sequential algorithm for training text classifiers
    (1994), pp. 3-12.
    by David D Lewis, William A Gale
  • Improving Generalization with Active Learning
    Mach. Learn., Vol. 15, No. 2. (May 1994), pp. 201-221.
    by David Cohn, Les Atlas, Richard Ladner
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