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Tag probabilistic-models [21 articles]

Recent papers classified by the tag probabilistic-models.
  • Learning Gaussian Networks
    No. MSR-TR-94-10. (1994)
    by Dan Geiger, David Heckerman
    posted to probabilistic-models by bpacker to the group vision-ng on 2006-05-07 04:42:49 as read along with 2 people pliz dimatura
  • A Hierarchical Community of Experts
    (1997)
    by Geoffrey E Hinton, Brian Sallans, Zoubin Ghahramani
    edited by Michael I Jordan
    posted to product-of-experts probabilistic-models hierarchy by bpacker to the group vision-ng on 2007-06-21 17:15:17 as ** along with 2 people zheaton scis0000001
  • Incorporating prior knowledge into boosting
    (2002)
    by R Schapire, M Rochery, M Rahim, N Gupta
    posted to probabilistic-models priors boosting by bpacker to the group vision-ng on 2007-06-04 06:36:05 as ***
  • Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
    The Annals of Statistics, Vol. 30, No. 5. (2002), pp. 1412-1440.
    by Dan Geiger, David Heckerman
    posted to probabilistic-models priors by bpacker to the group vision-ng on 2006-05-07 05:41:37 as read
  • Training Products of Experts by Maximizing Contrastive Likelihood
    (1999)
    by G Hinton
    posted to product-of-experts probabilistic-models by bpacker to the group vision-ng on 2007-06-21 17:14:12 as ** along with 1 person zheaton
  • Probabilistic principal component analysis
    (1997)
    by M Tipping, C Bishop
    posted to probabilistic-models by bpacker to the group vision-ng on 2007-06-01 19:32:45 as read along with 10 people and 2 groups pdlug davidr mad ecome Theo walkking flavian_vasile ShaileshKumar vlachmore kohei-h LTN Computer_Graphics
  • A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants
    (1998)
    by R Neal, G Hinton
    edited by MI Jordan
    posted to probabilistic-models by bpacker to the group vision-ng on 2007-08-06 19:36:13 as ***** along with 7 people and 1 group zheaton shilad ml_and_apps noa singhsh sfuniak ecome GroupLens
  • Training Products of Experts by Minimizing Contrastive Divergence
    Neural Comp., Vol. 14, No. 8. (1 August 2002), pp. 1771-1800.
    by Geoffrey E Hinton
    posted to product-of-experts probabilistic-models by bpacker to the group vision-ng on 2007-06-01 02:45:07 as ***** along with 2 people zheaton zeppe
  • Logistic Regression, AdaBoost and Bregman Distances
    (2000), pp. 158-169.
    by Michael Collins, Robert E Schapire, Yoram Singer
    posted to probabilistic-models boosting by bpacker to the group vision-ng on 2007-06-04 23:12:55 as *** along with 2 people and 1 group dragonrez Daniel24 csb_journal_club_public
  • Products of experts
    (1999)
    by G Hinton
    posted to product-of-experts probabilistic-models by bpacker to the group vision-ng on 2007-06-04 17:04:30 as ** along with 4 people zheaton ecome zeppe stueckle
  • Learning Probabilistic Relational Models
    Lecture Notes in Computer Science, Vol. 1864 (2000), pp. 322-??.
    by Lise Getoor
    posted to probabilistic-models by bpacker to the group vision-ng on 2007-03-26 02:47:22 as ** along with 3 people wnpx krisl paulomagalhaes
  • Probabilistic abstraction hierarchies
    (2001)
    by E Segal, D Koller, D Ormoneit
    posted to probabilistic-models hierarchy by bpacker to the group vision-ng on 2006-05-09 22:46:28 as ***
  • A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling
    Machine Learning, Vol. 28, No. 1. (1 July 1997), pp. 7-39.
    by Jonathan Baxter
    posted to hierarchy learning-theory probabilistic-models by bpacker on 2008-02-08 23:33:54 as read along with 1 person Cavadini
  • Modeling Visual Patterns by Integrating Descriptive and Generative Methods
    Int. J. Comput. Vision, Vol. 53, No. 1. (June 2003), pp. 5-29.
    by Cheng-En Guo, Song-Chun Zhu, Ying N Wu
    posted to probabilistic-models by bpacker on 2008-09-02 01:53:23 as ** along with 1 person and 1 group ciga Computational_Information_Geometry
  • An empirical analysis of likelihood-weighting simulation on a large, multiply connected medical belief network
    Comput. Biomed. Res., Vol. 24, No. 5. (October 1991), pp. 453-475.
    by Michael Shwe, Gregory Cooper
    posted to medical probabilistic-models by bpacker on 2008-08-06 01:10:33 as **
  • Learning Mixtures of Gaussians
    (1999)
    by Sanjoy Dasgupta
    posted to probabilistic-models by bpacker on 2008-01-15 02:35:37 as ***
  • Analyzing the Effectiveness and Applicability of Co-training
    (2000), pp. 86-93.
    by Kamal Nigam, Rayid Ghani
    posted to cotraining probabilistic-models by bpacker on 2008-01-23 16:45:13 as *** along with 3 people davidr buescher76 mukundn
  • Co-training from an Incremental EM Perspective
    Intelligent Data Engineering and Automated Learning – IDEAL 2004 (2004), pp. 765-773.
    by Minoo Aminian
    posted to cotraining probabilistic-models by bpacker on 2008-01-23 01:32:56 as ***
  • Probabilistic abstraction hierarchies
    (2001)
    by E Segal, D Koller, D Ormoneit
    posted to hierarchy probabilistic-models by bpacker on 2008-02-11 19:24:46 as read
  • The Information Bottleneck EM algorithm
    (2003)
    by G Elidan, N Friedman
    posted to continuation-methods probabilistic-models statistics by bpacker on 2008-01-09 19:12:25 as *** along with 1 person markusd
  • General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations
    (1995), pp. 402-411.
    by David Haussler, Manfred Opper
    posted to probabilistic-models statistics by bpacker on 2008-02-08 23:38:03 as read
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