Score-based Structure Learning
Score-Based Structure Learning is a computational method for inferring the structure of a Directed Acyclic Graph by assigning a score to each candidate graph based on the fit between the graph and observed data, then selecting the graph that maximizes this score.
41
Publications
1.6K
Citations
111
Authors
62
Institutions
Publications per year
2017–2026
15
Parents
41
Combining the Right Features for Complex Event Recognition
Kevin Tang, Bangpeng Yao, Li Fei-Fei et al. · 2013 · 91 citations
1–5 of 41
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Dalle Molle Institute for Artificial Intelligence Research, Switzerland
5 publications · 263 citations
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University of Helsinki
Helsinki, Finland
4 h-index
6 publications
208 citations
Queen Mary University of London
London, United Kingdom
2 h-index
6 publications
144 citations
University of Sfax
Sfax, Tunisia
2 h-index
5 publications
178 citations

TU Wien
Vienna, Austria
2 h-index
3 publications
88 citations
University of Kansas
Lawrence, United States
2 h-index
4 publications
555 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
181 citations
Helsinki Institute for Information Technology
Espoo, Finland
2 h-index
3 publications
127 citations
University of Zurich
Zurich, Switzerland
1 h-index
2 publications
50 citations
1–8 of 62
Repository · 8 publications · 291 citations
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JSS · 2 publications · 170 citations
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1 publications · 16 citations
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JAIR · 1 publications · 60 citations
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1 publications · 25 citations
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