Scalable Regression
Scalable Regression is a machine learning methodology that enables the efficient estimation of regression models on large-scale datasets by employing computational techniques that maintain statistical accuracy while significantly reducing time and resource complexity.
54
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2.2K
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154
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75
Institutions
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2017–2026
28
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Irina Botan, Roozbeh Derakhshan, Nihal Dindar et al. · Proceedings of the VLDB Endowment · 2010 · 109 citations
Li, Fotheringham, Li et al. · International Journal of Geographical Information Science · 2018 · 94 citations · Full text
Alin Dobra, Johannes Gehrke · 2002 · 92 citations
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Ames Research Center
Mountain View, United States
4 h-index
5 publications
176 citations
Stanford University
Stanford, United States
3 h-index
5 publications
237 citations
University of Southern California
Los Angeles, United States
3 h-index
6 publications
122 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
125 citations
ETH Zurich
Zurich, Switzerland
2 h-index
8 publications
504 citations
Twin Cities Orthopedics
Edina, United States
2 h-index
2 publications
33 citations

Zhejiang University
Hangzhou, China
2 h-index
3 publications
86 citations
Vellore Institute of Technology University
Vellore, India
2 h-index
4 publications
290 citations
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2 publications · 52 citations
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2 publications · 107 citations
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Repository · 2 publications · 29 citations
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IJAIP · 2 publications · 145 citations
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Conference · 1 publications · 37 citations
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