Probabilistic Expert Systems is a formal computational framework that belongs to the class of expert systems and is distinguished by its use of probabilistic reasoning, particularly Bayesian inference, to model uncertainty and support decision-making under incomplete or uncertain evidence.
188
Publications
16.5K
Citations
382
Authors
214
Institutions
Publications per year
2017–2026
23
Variants
Probabilistic Expert System
Publications
188
Bayesian Analysis in Expert Systems
David Spiegelhalter, A. P. Dawid, Steffen L. Lauritzen et al. · Statistical Science · 1993 · 691 citations · Full text
Probabilistic Horn abduction and Bayesian networks
David Poole · Artificial Intelligence · 1993 · 593 citations
1–5 of 188
Authors
382
- AP
8
h-index
- SL
6
h-index
- DJ
6
h-index
- EH
4
h-index
- KG
4
h-index
1–5 of 382
Institutions
214
Aalborg University
Aalborg, Denmark
12 h-index
21 publications
7.8K citations
University College London
London, United Kingdom
7 h-index
10 publications
763 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
6 h-index
6 publications
4.4K citations
Stanford University
Stanford, United States
5 h-index
8 publications
664 citations
Menlo School
Atherton, United States
4 h-index
4 publications
294 citations
Roma Tre University
Rome, Italy
4 h-index
6 publications
360 citations
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
146 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
713 citations
1–8 of 214
Venues
- arXiv (Cornell University)
Repository · 9 publications · 355 citations
9
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- Expert Systems with Applications
8 publications · 444 citations
8
h-index
- Artificial Intelligence
5 publications · 1.3K citations
5
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- Statistical Science
5 publications · 873 citations
5
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- Methods of Information in Medicine
4 publications · 409 citations
4
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1–5