Representative Examples Selection
Representative Examples Selection is a content selection strategy that involves identifying and prioritizing instances within a dataset or corpus that exemplify the central characteristics or variations of a phenomenon under study, thereby enabling efficient and accurate generalization in academic analysis.
116
Publications
16.5K
Citations
368
Authors
170
Institutions
Publications per year
2017–2026
36
Parents
116
Clustering by Passing Messages Between Data Points
Brendan J. Frey, Delbert Dueck · Science · 2007 · 6.9K citations
Selection of relevant features and examples in machine learning
Avrim Blum, Pat Langley · Artificial Intelligence · 1997 · 3.3K citations
1–5 of 116
368
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Office National d'Études et de Recherches Aérospatiales, France
2 publications · 96 citations
2
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2
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1–5 of 368
170

Zhejiang University
Hangzhou, China
3 h-index
9 publications
259 citations
University of Washington
Seattle, United States
3 h-index
5 publications
124 citations
University of Virginia
Charlottesville, United States
3 h-index
6 publications
516 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
3.4K citations
University of South Florida
Tampa, United States
2 h-index
7 publications
124 citations

Deakin University
Burwood, Australia
2 h-index
2 publications
41 citations

University of Toronto
Toronto, Canada
2 h-index
3 publications
13.8K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
3 publications
89 citations
1–8 of 170
Conference · 4 publications · 99 citations
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Repository · 3 publications · 103 citations
3
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2 publications · 96 citations
2
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2 publications · 72 citations
2
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2 publications · 22 citations
2
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