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Structure and Parameter Learning for Causal Independence and Causal
  Interaction Models
v1v2 (latest)

Structure and Parameter Learning for Causal Independence and Causal Interaction Models

Conference on Uncertainty in Artificial Intelligence (UAI), 1997
6 February 2013
Christopher Meek
David Heckerman
    CML
ArXiv (abs)PDFHTML

Papers citing "Structure and Parameter Learning for Causal Independence and Causal Interaction Models"

7 / 7 papers shown
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
Kieran Drury
Martine J. Barons
Jim Q. Smith
156
0
0
30 Sep 2025
Surjective Independence of Causal Influences for Local Bayesian Network Structures
Surjective Independence of Causal Influences for Local Bayesian Network Structures
Kieran Drury
Martine J. Barons
Jim Q. Smith
CML
102
1
0
29 Sep 2025
Embedded Bayesian Network Classifiers
Embedded Bayesian Network Classifiers
David Heckerman
Christopher Meek
253
0
0
22 Oct 2019
Models and Selection Criteria for Regression and Classification
Models and Selection Criteria for Regression and ClassificationConference on Uncertainty in Artificial Intelligence (UAI), 1997
David Heckerman
Christopher Meek
378
75
0
06 Feb 2013
Learning the Structure of Dynamic Probabilistic Networks
Learning the Structure of Dynamic Probabilistic NetworksConference on Uncertainty in Artificial Intelligence (UAI), 1998
N. Friedman
Kevin P. Murphy
Stuart J. Russell
TPM
303
709
0
30 Jan 2013
Learning Bayesian Networks with Restricted Causal Interactions
Learning Bayesian Networks with Restricted Causal InteractionsConference on Uncertainty in Artificial Intelligence (UAI), 1999
J. R. Neil
C. S. Wallace
K. Korb
CML
272
20
0
23 Jan 2013
Gaussian Process Networks
Gaussian Process NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2000
N. Friedman
I. Nachman
GPBDL
421
90
0
16 Jan 2013
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