|
5667
|
Probabilistic reasoning in intelligent systems
– Judea Pearl
- 1988
|
|
877
|
A Bayesian method for the induction of probabilistic networks from data
– Gregory F. Cooper, Tom Dietterich
- 1992
|
|
293
|
Influence diagrams
– R Howard, J Matheson
- 2005
|
|
131
|
Causal Diagrams For Empirical Research
– Judea Pearl
|
|
178
|
Bayesian analysis in expert systems
– D J Spiegelhalter, A P Dawid, S L Lauritzen, R G Cowell
- 1993
|
|
175
|
A Theory Of Inferred Causation
– Judea Pearl, T.S. Verma
- 1991
|
|
752
|
Learning Bayesian networks: The combination of knowledge and statistical data
– David Heckerman, David M. Chickering
- 1995
|
|
215
|
Model selection and accounting for model uncertainty in graphical models using Occam's window
– David Madigan, Adrian E. Raftery
- 1993
|
|
177
|
Sequential updating of conditional probabilities on directed graphical structures
– D J Spiegelhalter, S L Lauritzen
- 1990
|
|
1081
|
Local Computations with Probabilities on graphical structures and their applications to expert systems (with discussion
– S L Lauritzen, D J Spiegelhalter
|
|
384
|
Causation, prediction and search
– P Spirtes, C Glymour, R Scheines
- 1993
|
|
153
|
Theory Refinement on Bayesian Networks
– Wray Buntine
- 1991
|
|
24
|
Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty
– A Darwiche, M Goldszmidt
- 1994
|
|
61
|
Decision-Theoretic Troubleshooting
– David Heckerman, John S. Breese, Koos Rommelse
- 1995
|
|
102
|
Bayesian inference for causal effects: The role of randomization
– D B Rubin
- 1978
|
|
317
|
Evaluating influence diagrams
– R D Shachter
- 1986
|
|
14
|
Updating a diagnostic system using unconfirmed cases
– D M Titterington
- 1976
|
|
7
|
Bayesian Methods for the Analysis of Misclassied and Incomplete Multivariate Discrete Data
– J C York
- 1992
|
|
6234
|
Maximum likelihood from incomplete data via the EM algorithm
– A. P. Dempster, N. M. Laird, D. B. Rubin
- 1977
|
