Quadratic Integer Programming is an optimization framework within mathematical programming that distinguishes itself by involving the minimization or maximization of a quadratic objective function subject to linear constraints, where some or all variables are restricted to integer values.
357
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21.6K
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832
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398
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2017–2026
74
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357
Support Vector Machines for Multiple-Instance Learning
Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann · 2002 · 1.4K citations
1–5 of 357
Authors
832
- CB
5
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- LG
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- ABAlain Billionnet
Centre d'études et de recherche en informatique et communications, France
4 publications · 180 citations
4
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- MM
4
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- FG
4
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1–5 of 832
Institutions
398
University of California, Berkeley
Berkeley, United States
9 h-index
22 publications
4.4K citations
Tsinghua University
Beijing, China
8 h-index
20 publications
1.4K citations
University of Waterloo
Waterloo, Canada
8 h-index
16 publications
988 citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
12 publications
888 citations
Southeast University
Nanjing, China
6 h-index
12 publications
260 citations
University of Florida
Gainesville, United States
6 h-index
11 publications
302 citations
Centre National de la Recherche Scientifique
Paris, France
6 h-index
12 publications
924 citations
Stanford University
Stanford, United States
6 h-index
17 publications
1K citations
1–8 of 398
Venues
- Mathematical Programming
26 publications · 1.9K citations
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- Operations Research
14 publications · 1K citations
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- European Journal of Operational Research
12 publications · 1.7K citations
12
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- Management Science
10 publications · 600 citations
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- Journal of Global Optimization
9 publications · 328 citations
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