Representational Capacity
Representational Capacity is the inherent ability of a machine learning model to approximate a range of functions, distinguished by the complexity and diversity of patterns it can capture within its parametric structure.
296
Publications
21.5K
Citations
780
Authors
332
Institutions
Publications per year
2017–2026
138
Parents
296
The functions of multiple representations
Shaaron Aınsworth · Computers & Education · 1999 · 1.1K citations
Computing, Mathematics, Algebra +8
Simulation and similarity: using models to understand the world
Choice Reviews Online · 2013 · 639 citations
Computing, Mathematics, Fiction +15
The construction of large number representations in adults
Hilary Barth, Nancy Kanwisher, Elizabeth S. Spelke · Cognition · 2003 · 508 citations
1–5 of 296
780
6
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Inception Institute of Artificial Intelligence, United Arab Emirates
5 publications · 248 citations
5
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4
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4
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4
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1–5 of 780
332
Google (United States)
Mountain View, United States
7 h-index
14 publications
649 citations

University of Toronto
Toronto, Canada
7 h-index
11 publications
1.1K citations

Harbin Institute of Technology
Harbin, China
7 h-index
17 publications
869 citations
University of Oxford
Oxford, United Kingdom
6 h-index
11 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
11 publications
811 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
11 publications
2.1K citations

Xidian University
Xi'an, China
6 h-index
23 publications
2.1K citations
Inception Institute of Artificial Intelligence
Abu Dhabi, United Arab Emirates
5 h-index
17 publications
796 citations
1–8 of 332
Repository · 37 publications · 1.8K citations
21
h-index
9 publications · 512 citations
9
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8 publications · 524 citations
8
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5 publications · 231 citations
5
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Conference · 5 publications · 539 citations
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1–5