Nonlinear Feature Interactions
Nonlinear Feature Interactions is a type of feature interaction in machine learning models characterized by the presence of higher-order, non-additive relationships between input variables that cannot be captured by linear combinations alone.
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7.2K
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127
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2017–2026
41
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Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koç, Jeremiah Harmsen et al. · 2016 · 3.3K citations · Full text
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koç, Jeremiah Harmsen et al. · arXiv (Cornell University) · 2016 · 263 citations · Full text
Analyzing the Time Course of Pupillometric Data
Jacolien van Rij, Petra Hendriks, Hedderik van Rijn et al. · Trends in Hearing · 2019 · 232 citations · Full text
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127

Shandong Normal University
Jinan, China
3 h-index
13 publications
251 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
7 publications
139 citations

Donghua University
Shanghai, China
2 h-index
4 publications
130 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
92 citations

University of Auckland
Auckland, New Zealand
2 h-index
3 publications
74 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
1.4K citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
4 publications
161 citations
University of California, Davis
Davis, United States
2 h-index
3 publications
165 citations
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3 publications · 115 citations
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2 publications · 30 citations
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Conference · 2 publications · 33 citations
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Repository · 2 publications · 368 citations
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2 publications · 92 citations
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