Symbolic Differentiation
Symbolic Differentiation is a brand differentiation strategy that belongs to the broader category of non-physical differentiation methods, distinguished by its reliance on symbolic elements such as brand image, identity, values, and cultural meanings to create perceptual distinctions in consumers' minds.
29
Publications
5.4K
Citations
66
Authors
30
Institutions
Publications per year
2017–2026
4
Parents
29
Automatic differentiation in machine learning: a survey
arXiv (Cornell University) · 2015 · 848 citations · Full text
Yi Xue · Beijing Gongye Daxue xuebao · 2005 · 215 citations
Natural Sciences, Computational Engineering, Mathematics +15
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30
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
3 publications
67 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
712 citations
ETH Zurich
Zurich, Switzerland
2 h-index
2 publications
59 citations
National University of Ireland, Maynooth
Maynooth, Ireland
2 h-index
2 publications
2.9K citations
Science Oxford
Oxford, United Kingdom
2 h-index
2 publications
2.9K citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
2.9K citations
University of Suffolk
Ipswich, United Kingdom
1 h-index
1 publications
20 citations
Université de Montréal
Montreal, Canada
1 h-index
9 publications
9.5K citations
1–8 of 30
TOG · 1 publications · 19 citations
1
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1 publications · 31 citations
1
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1 publications · 93 citations
1
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1 publications · 12 citations
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Repository · 1 publications · 848 citations
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