Pairwise Interaction Terms
Pairwise Interaction Terms is a type of interaction feature in statistical and machine learning models that represents the product of two distinct predictor variables, capturing the combined effect of their co-occurrence beyond individual main effects.
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Multiple regression: testing and interpreting interactions
Choice Reviews Online · 1992 · 37.2K citations
Enrique Espinosa, Ibón Alkorta, José Elguero et al. · The Journal of Chemical Physics · 2002 · 1.9K citations
Natural Sciences, Chemistry, Physics +17
Spin Ice State in Frustrated Magnetic Pyrochlore Materials
S. T. Bramwell, Michel J. P. Gingras · Science · 2001 · 1.7K citations · Full text
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University of California, Berkeley
Berkeley, United States
9 h-index
22 publications
834 citations

University of British Columbia
Vancouver, Canada
8 h-index
22 publications
616 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
17 publications
513 citations

Weizmann Institute of Science
Rehovot, Israel
6 h-index
10 publications
610 citations
Los Alamos National Laboratory
Los Alamos, United States
5 h-index
12 publications
499 citations
ETH Zurich
Zurich, Switzerland
5 h-index
9 publications
450 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
13 publications
446 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
275 citations
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40 publications · 4.3K citations
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JCTC · 11 publications · 1.4K citations
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PRA · 9 publications · 331 citations
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7 publications · 295 citations
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