Constraint Learning
Constraint Learning is a computational method within constraint satisfaction that identifies and incorporates new constraints from problem-solving experiences to refine the search space and improve reasoning efficiency.
135
Publications
5.6K
Citations
348
Authors
170
Institutions
Publications per year
2017–2026
40
135
Learning while searching in constraint-satisfaction-problems
Rina Dechter · 1986 · 197 citations
Causal Discovery for Climate Research Using Graphical Models
Imme Ebert‐Uphoff, Yi Deng · Journal of Climate · 2012 · 194 citations · Full text
1–5 of 135
348
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Centre National de la Recherche Scientifique, France
5 publications · 163 citations
5
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4
h-index
4
h-index
3
h-index
1–5 of 348
170

Centre National de la Recherche Scientifique
Paris, France
7 h-index
14 publications
609 citations

University College Cork
Cork, Ireland
6 h-index
13 publications
299 citations
KU Leuven
Leuven, Belgium
6 h-index
14 publications
497 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
5 publications
240 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
10 publications
320 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
4 publications
248 citations

University of Canterbury
Christchurch, New Zealand
3 h-index
7 publications
161 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
5 publications
224 citations
1–8 of 170
9 publications · 352 citations
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Repository · 10 publications · 181 citations
9
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Conference · 3 publications · 109 citations
3
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3 publications · 55 citations
3
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Repository · 3 publications · 141 citations
3
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