Supporting Hyperplanes
Supporting Hyperplanes is a fundamental concept in convex analysis denoting a hyperplane that touches the boundary of a convex set at a given point such that the entire set lies on one side of the hyperplane.
244
Publications
11.5K
Citations
390
Authors
247
Institutions
Publications per year
2017–2026
26
Variants
Supporting Hyperplane
Parents
244
The Geometry of Mixture Likelihoods: A General Theory
Bruce G. Lindsay · The Annals of Statistics · 1983 · 642 citations · Full text
Linli Xu, James Neufeld, Bryce Larson et al. · 2004 · 457 citations
Support Vector Ordinal Regression
Wei Chu, S. Sathiya Keerthi · Neural Computation · 2007 · 318 citations
1–5 of 244
390
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Islamic Azad University, Science and Research Branch, Iran
4 publications · 130 citations
4
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3
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1–5 of 390
247

Centre National de la Recherche Scientifique
Paris, France
6 h-index
9 publications
200 citations
University of Washington
Seattle, United States
5 h-index
6 publications
256 citations
Hanoi National University of Education
Hanoi, Vietnam
5 h-index
6 publications
117 citations

Ghent University
Ghent, Belgium
4 h-index
5 publications
101 citations
Åbo Akademi University
Turku, Finland
4 h-index
8 publications
286 citations
New York University
New York, United States
4 h-index
6 publications
374 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
5 publications
105 citations
Courant Institute of Mathematical Sciences
New York, United States
4 h-index
5 publications
310 citations
1–8 of 247
11 publications · 341 citations
11
h-index
9 publications · 465 citations
9
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8 publications · 212 citations
8
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6 publications · 195 citations
6
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6 publications · 412 citations
6
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