Polynomial Expansion
Polynomial Expansion is a mathematical transformation method that generates new features by computing all possible combinations of polynomial terms up to a specified degree from an original set of variables, thereby enriching the feature space for modeling nonlinear relationships in machine learning and regression analysis.
949
Publications
46.3K
Citations
2.2K
Authors
933
Institutions
Publications per year
2017–2026
140
Parents
949
Distribution of the Ratio of Consecutive Level Spacings in Random Matrix Ensembles
Y. Y. Atas, E. Bogomolny, Olivier Giraud et al. · Physical Review Letters · 2013 · 1K citations · Full text
Tom Malzbender, Dan Gelb, Hans J. Wolters · 2001 · 623 citations
1–5 of 949
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King Abdullah University of Science and Technology, Saudi Arabia
6 publications · 378 citations
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933

Centre National de la Recherche Scientifique
Paris, France
15 h-index
37 publications
5.5K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
19 publications
381 citations
Politecnico di Torino
Turin, Italy
10 h-index
27 publications
806 citations

Supélec
Gif-sur-Yvette, France
9 h-index
17 publications
1.5K citations

Imperial College London
London, United Kingdom
9 h-index
18 publications
888 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
18 publications
586 citations

Sorbonne Université
Paris, France
8 h-index
10 publications
316 citations

Zhejiang University
Hangzhou, China
8 h-index
23 publications
1.9K citations
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39 publications · 4.7K citations
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Repository · 12 publications · 278 citations
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MCOM · 10 publications · 426 citations
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9 publications · 291 citations
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9 publications · 166 citations
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