Symbolic Classification
Symbolic Classification is a machine learning task within symbolic systems that involves assigning input data to predefined categories based on symbolic representations and syntactic or semantic patterns derived through symbolic reasoning or genetic programming.
124
Publications
6.8K
Citations
316
Authors
144
Institutions
Publications per year
2017–2026
23
124
Right and Left: Essays on Dual Symbolic Classification
Kenneth R. Adams, Rodney Needham · Leonardo · 1976 · 236 citations
1–5 of 124
316
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144
University of Wisconsin–Madison
Madison, United States
6 h-index
9 publications
1.2K citations
University of California, Irvine
Irvine, United States
3 h-index
6 publications
543 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
101 citations
The University of Texas at Austin
Austin, United States
3 h-index
4 publications
708 citations
King's College London
London, United Kingdom
3 h-index
3 publications
268 citations
University of Mysore
Mysuru, India
2 h-index
5 publications
96 citations

Universidade Federal de Pernambuco
Recife, Brazil
2 h-index
5 publications
199 citations
University Hospital Magdeburg
Magdeburg, Germany
2 h-index
2 publications
36 citations
1–8 of 144
5 publications · 1.5K citations
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h-index
4 publications · 121 citations
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3 publications · 81 citations
3
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3 publications · 76 citations
3
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2 publications · 51 citations
2
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1–5