bpacker's probabilistic-models [21 articles] Export

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	Modeling Visual Patterns by Integrating Descriptive and Generative Methods [My Copy] 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 [My Copy] 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
	Probabilistic abstraction hierarchies [My Copy] (2001) by E. Segal, D. Koller, D. Ormoneit posted to hierarchy probabilistic-models by bpacker on 2008-02-11 19:24:46 as
	General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations [My Copy] In Computational Learing Theory (1995), pp. 402-411. by David Haussler, Manfred Opper posted to probabilistic-models statistics by bpacker on 2008-02-08 23:38:03 as
	A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling [My Copy] 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 along with 1 person Cavadini
	Analyzing the Effectiveness and Applicability of Co-training [My Copy] In CIKM (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 [My Copy] 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 [My Copy] In FOCS '99: Proceedings of the 40th Annual Symposium on Foundations of Computer Science (1999) by Sanjoy Dasgupta posted to probabilistic-models by bpacker on 2008-01-15 02:35:37 as
	The Information Bottleneck EM algorithm [My Copy] (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 [My Copy] In Learning in Graphical Models (1998) by R. Neal, G. Hinton edited by M. I. Jordan posted to cotraining probabilistic-models by bpacker on 2007-08-06 19:36:13 as along with 8 people and 2 groups ppeeling zheaton shilad ml_and_apps noa singhsh sfuniak ecome GroupLens vision-ng
	A Hierarchical Community of Experts [My Copy] In Learning in Graphical Models (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 3 people and 1 group Scis0000002 zheaton scis0000001 vision-ng
	Training Products of Experts by Maximizing Contrastive Likelihood [My Copy] (1999) by G. Hinton posted to probabilistic-models product-of-experts by bpacker on 2007-06-21 17:14:12 as along with 1 person and 1 group zheaton vision-ng
	Logistic Regression, AdaBoost and Bregman Distances [My Copy] In Computational Learing Theory (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 1 group dragonrez Daniel24 vision-ng
	Products of experts [My Copy] (1999) by G. Hinton posted to probabilistic-models product-of-experts by bpacker on 2007-06-04 17:04:30 as along with 5 people and 1 group ednarofi zheaton ecome zeppe stueckle vision-ng
	Incorporating prior knowledge into boosting [My Copy] (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 [My Copy] (1997) by M. Tipping, C. Bishop posted to probabilistic-models by bpacker on 2007-06-01 19:32:45 as 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 [My Copy] 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 2 people and 1 group zheaton zeppe vision-ng
	Learning Probabilistic Relational Models [My Copy] 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 [My Copy] (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 [My Copy] 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 along with 1 group vision-ng
	Learning Gaussian Networks [My Copy] 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 along with 2 people and 1 group pliz dimatura vision-ng

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vision	44
probabilistic-models	21
classification	13
statistics	13
sparse-coding	12
boosting	11
caltech	10
cotraining	9
recognition	9
hierarchy	8
social-science	8
v1	8
evolution	7
feedback	7
nlp	7
orientation	7
topic	7
v2	7
algorithms	6
complex-cell	6
contour	6
semisupervised-learning	6
ncrf	5
product-of-experts	5
dimensionality-reduction	4
lasso	4
lda	4
parental-investment	4
bag-of-patches	3
collaborative-filtering	3
curvature	3
ica	3
learning-theory	3
phase-learning	3
sna	3
color	2
continuation-methods	2
endstopping	2
object-detection	2
priors	2
regularization	2
trees	2
correspondence	1
feedforward	1
hmm	1
math	1
medical	1
optimization	1
pos	1
racism	1

bpacker's probabilistic-models [21 articles] Export

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