Learning in Graphical Models
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23

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14

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Published By Springer Netherlands

9789401061049, 9789401150149

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Tutorial on Learning with Bayesian Networks

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_11 ◽

1998 ◽

pp. 301-354 ◽

Cited By ~ 216

Author(s):

David Heckerman

Keyword(s):

Bayesian Networks

Hepatitis B: A Case Study in MCMC

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_22 ◽

1998 ◽

pp. 575-598

Author(s):

D. J. Spiegelhalter ◽

N. G. Best ◽

W. R. Gilks ◽

H. Inskip

Keyword(s):

Hepatitis B

Latent Variable Models

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_13 ◽

1998 ◽

pp. 371-403 ◽

Cited By ~ 22

Author(s):

Christopher M. Bishop

Keyword(s):

Latent Variable ◽

Latent Variable Models

The Multiinformation Function as a Tool for Measuring Stochastic Dependence

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_10 ◽

1998 ◽

pp. 261-297 ◽

Cited By ~ 40

Author(s):

M. Studený ◽

J. Vejnarová

Keyword(s):

Stochastic Dependence

Chain Graphs and Symmetric Associations

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_9 ◽

1998 ◽

pp. 231-259 ◽

Cited By ~ 5

Author(s):

Thomas S. Richardson

Keyword(s):

Chain Graphs

Improving the Mean Field Approximation Via the Use of Mixture Distributions

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_6 ◽

1998 ◽

pp. 163-173 ◽

Cited By ~ 23

Author(s):

Tommi S. Jaakkola ◽

Michael I. Jordan

Keyword(s):

Mean Field ◽

Field Approximation ◽

Mean Field Approximation ◽

Mixture Distributions ◽

The Mean

Learning Hybrid Bayesian Networks from Data

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_19 ◽

1998 ◽

pp. 521-540 ◽

Cited By ~ 12

Author(s):

Stefano Monti ◽

Gregory F. Cooper

Keyword(s):

Bayesian Networks ◽

Hybrid Bayesian Networks

Suppressing Random Walks in Markov Chain Monte Carlo Using Ordered Overrelaxation

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_8 ◽

1998 ◽

pp. 205-228 ◽

Cited By ~ 22

Author(s):

Radford M. Neal

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Random Walks

Inference in Bayesian Networks Using Nested Junction Trees

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_3 ◽

1998 ◽

pp. 51-74 ◽

Cited By ~ 3

Author(s):

Uffe Kjærulff

Keyword(s):

Bayesian Networks ◽

Junction Trees

Edge Exclusion Tests for Graphical Gaussian Models

Learning in Graphical Models ◽

10.1007/978-94-011-5014-9_21 ◽

1998 ◽

pp. 555-574 ◽

Cited By ~ 14

Author(s):

Peter W. F. Smith ◽

Joe Whittaker

Keyword(s):

Gaussian Models ◽

Graphical Gaussian Models ◽

Edge Exclusion ◽

Graphical Gaussian