Belief Networks
Belief Networks is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph, encoding uncertain knowledge through probability distributions to support reasoning under uncertainty.
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2017–2026
346
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A Fast Learning Algorithm for Deep Belief Nets
Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh · Neural Computation · 2006 · 16.4K citations
Philippe Smets, Robert Kennes · Artificial Intelligence · 1994 · 2.2K citations
Fusion, propagation, and structuring in belief networks
Judea Pearl · Artificial Intelligence · 1986 · 2.2K citations
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Stanford University
Stanford, United States
37 h-index
112 publications
18.6K citations

Centre National de la Recherche Scientifique
Paris, France
22 h-index
72 publications
3.5K citations
Massachusetts Institute of Technology
Cambridge, United States
21 h-index
47 publications
4.5K citations

University of Toronto
Toronto, Canada
20 h-index
38 publications
39.1K citations
University of California, Los Angeles
Los Angeles, United States
20 h-index
39 publications
6K citations

Northwestern Polytechnical University
Xi'an, China
17 h-index
46 publications
3.2K citations

University of British Columbia
Vancouver, Canada
16 h-index
32 publications
3K citations
University of Washington
Seattle, United States
16 h-index
31 publications
1.8K citations
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Repository · 121 publications · 9.5K citations
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14 publications · 523 citations
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