Probabilistic Representation
Probabilistic Representation is a formal framework within uncertainty representation that characterizes uncertain knowledge through probability distributions, distinguishing itself by quantifying uncertainty in terms of measurable likelihoods over well-defined sample spaces.
817
Publications
53.5K
Citations
1.7K
Authors
718
Institutions
Publications per year
2017–2026
145
Parents
817
Using occupancy grids for mobile robot perception and navigation
Alberto Elfes · Computer · 1989 · 2.2K citations
Representative design and probabilistic theory in a functional psychology.
Egon Brunswik · Psychological Review · 1955 · 1.6K citations
Natural Sciences, Design, Psychology +11
Attention, Uncertainty, and Free-Energy
Harriet Feldman, Karl Friston · Frontiers in Human Neuroscience · 2010 · 1.4K citations · Full text
1–5 of 817
1.7K
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Centre National de la Recherche Scientifique, France
8 publications · 288 citations
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1–5 of 1.7K
718
Stanford University
Stanford, United States
21 h-index
49 publications
5.2K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
42 publications
2K citations
Carnegie Mellon University
Pittsburgh, United States
16 h-index
33 publications
3.3K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
22 publications
2.9K citations

Université Toulouse III - Paul Sabatier
Toulouse, France
12 h-index
23 publications
1.5K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
26 publications
599 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
10 h-index
20 publications
787 citations
University of Washington
Seattle, United States
10 h-index
20 publications
2.6K citations
1–8 of 718
Repository · 34 publications · 1.1K citations
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22 publications · 1.5K citations
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IJUFKS · 12 publications · 1.6K citations
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11 publications · 443 citations
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10 publications · 265 citations
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