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bpacker probabilistic-models [19 articles]

Recent papers added to bpacker library classified by the tag probabilistic-models. You can also see everyone's probabilistic-models.
  • 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
  • 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
  • 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
  • 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 ***
  • Learning Mixtures of Gaussians
    (1999)
    by Sanjoy Dasgupta
    posted to probabilistic-models by bpacker on 2008-01-15 02:35:37 as ***
  • 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
  • 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 cotraining probabilistic-models by bpacker on 2007-08-06 19:36:13 as ***** along with 6 people and 2 groups sfuniak ecome shilad ml_and_apps noa singhsh GroupLens vision-ng
  • A Hierarchical Community of Experts
    (1997)
    by Geoffrey E Hinton, Brian Sallans, Zoubin Ghahramani
    edited by Michael I Jordan
    posted to hierarchy probabilistic-models product-of-experts by bpacker on 2007-06-21 17:15:17 as ** along with 1 person and 1 group scis0000001 vision-ng
  • Training Products of Experts by Maximizing Contrastive Likelihood
    (1999)
    by G Hinton
    posted to probabilistic-models product-of-experts by bpacker on 2007-06-21 17:14:12 as ** along with 1 group vision-ng
  • Logistic Regression, AdaBoost and Bregman Distances
    (2000), pp. 158-169.
    by Michael Collins, Robert E Schapire, Yoram Singer
    posted to boosting probabilistic-models by bpacker on 2007-06-04 23:12:55 as *** along with 2 people and 2 groups dragonrez Daniel24 vision-ng csb_journal_club_public
  • Products of experts
    (1999)
    by G Hinton
    posted to probabilistic-models product-of-experts by bpacker on 2007-06-04 17:04:30 as ** along with 3 people and 1 group ecome zeppe stueckle vision-ng
  • Incorporating prior knowledge into boosting
    (2002)
    by R Schapire, M Rochery, M Rahim, N Gupta
    posted to boosting priors probabilistic-models by bpacker on 2007-06-04 06:36:05 as *** along with 1 group vision-ng
  • Probabilistic principal component analysis
    (1997)
    by M Tipping, C Bishop
    posted to probabilistic-models by bpacker on 2007-06-01 19:32:45 as read along with 10 people and 3 groups pdlug davidr mad ecome Theo walkking flavian_vasile ShaileshKumar vlachmore kohei-h vision-ng LTN Computer_Graphics
  • 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 probabilistic-models product-of-experts by bpacker on 2007-06-01 02:45:07 as ***** along with 1 person and 1 group zeppe vision-ng
  • Learning Probabilistic Relational Models
    Lecture Notes in Computer Science, Vol. 1864 (2000), pp. 322-??.
    by Lise Getoor
    posted to probabilistic-models by bpacker on 2007-03-26 02:47:22 as ** along with 3 people and 1 group wnpx krisl paulomagalhaes vision-ng
  • Probabilistic abstraction hierarchies
    (2001)
    by E Segal, D Koller, D Ormoneit
    posted to hierarchy probabilistic-models by bpacker on 2006-05-09 22:46:28 as *** along with 1 group vision-ng
  • 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 priors probabilistic-models by bpacker on 2006-05-07 05:41:37 as read along with 1 group vision-ng
  • Learning Gaussian Networks
    No. MSR-TR-94-10. (1994)
    by Dan Geiger, David Heckerman
    posted to probabilistic-models by bpacker on 2006-05-07 04:42:49 as read along with 2 people and 1 group pliz dimatura vision-ng
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