Similarity-based Representation
Similarity-Based Representation is a theoretical framework within scientific representation that accounts for the representational relationship between a model and its target system through the degree and structure of shared similarities, distinguishing it from other frameworks by its reliance on isomorphism, homomorphism, or analogy as the basis for representational adequacy.
222
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10.5K
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659
Authors
318
Institutions
Publications per year
2017–2026
93
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An Inferential Conception of Scientific Representation
Mauricio Suárez · Philosophy of Science · 2004 · 469 citations
Similarity-based Classification: Concepts and Algorithms
Yihua Chen, Eric Garcia, Maya R. Gupta et al. · 2009 · 293 citations
MBT: A Memory-Based Part of Speech Tagger-Generator
Walter Daelemans, Jakub Zavrel, Peter Berck et al. · ArXiv.org · 1996 · 261 citations · Full text
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Chinese Academy of Sciences
Beijing, China
6 h-index
19 publications
1K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
8 publications
566 citations
The University of Texas at Austin
Austin, United States
5 h-index
8 publications
270 citations

Delft University of Technology
Delft, The Netherlands
4 h-index
6 publications
587 citations

Beijing Institute of Technology
Beijing, China
4 h-index
12 publications
451 citations

Sun Yat-sen University
Guangzhou, China
4 h-index
10 publications
277 citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
11 publications
266 citations

Monash University
Melbourne, Australia
4 h-index
4 publications
112 citations
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Repository · 10 publications · 614 citations
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5 publications · 175 citations
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4 publications · 201 citations
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3 publications · 187 citations
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3 publications · 172 citations
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