Polynomial Feature Selection
Polynomial Feature Selection is a feature selection method that identifies a subset of relevant polynomial combinations of original variables to improve model performance by reducing dimensionality while preserving nonlinear relationships in the data.
44
Publications
3.2K
Citations
146
Authors
67
Institutions
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2017–2026
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Consistent Feature Selection for Pattern Recognition in Polynomial Time
Roland Nilsson, José M. Peña, Johan Björkegren et al. · 2007 · 169 citations
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University of Turkish Aeronautical Association, Türkiye
1 publications · 337 citations
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University of Alberta
Edmonton, Canada
2 h-index
4 publications
88 citations

Thapar Institute of Engineering & Technology
Patiāla, India
2 h-index
3 publications
59 citations
Maharaja Ranjit Singh Punjab Technical University
Bathinda, India
1 h-index
1 publications
13 citations
University of Turkish Aeronautical Association
Ankara, Türkiye
1 h-index
1 publications
337 citations
University of Iceland
Reykjavik, Iceland
1 h-index
3 publications
63 citations

Afe Babalola University
Ado-Ekiti, Nigeria
1 h-index
1 publications
48 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
40 citations

Ladoke Akintola University of Technology
Ogbomoso, Nigeria
1 h-index
1 publications
27 citations
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2 publications · 156 citations
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2 publications · 547 citations
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2 publications · 378 citations
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2 publications · 459 citations
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2 publications · 44 citations
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