Support Vector Machines
Support Vector Machines is a supervised learning algorithm that belongs to the class of linear classifiers and is distinguished by its use of maximizing the margin between classes through optimal hyperplane separation in high-dimensional space.
42.8K
Publications
2.8M
Citations
102.9K
Authors
10.9K
Institutions
Publications per year
2017–2026
21.2K
Variants
Support Vector MachineSvm
Parents
42.8K
Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.3K citations
Histograms of Oriented Gradients for Human Detection
Navneet Dalal, Bill Triggs · 2005 · 31.9K citations · Full text
Classification and Regression by randomForest
Andy Liaw, Matthew C. Wiener · 2007 · 18.4K citations
Extreme learning machine: Theory and applications
Guang-Bin Huang, Qinyu Zhu, Chee‐Kheong Siew · Neurocomputing · 2006 · 13.2K citations
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102.9K
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Max Planck Institute for Intelligent Systems, Germany
65 publications · 51.5K citations
46
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33
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10.9K

Chinese Academy of Sciences
Beijing, China
93 h-index
1.5K publications
80.9K citations
Nanyang Technological University
Singapore, Singapore
93 h-index
721 publications
124.7K citations
National University of Singapore
Singapore, Singapore
73 h-index
490 publications
54.3K citations
Tsinghua University
Beijing, China
73 h-index
864 publications
55.4K citations

Centre National de la Recherche Scientifique
Paris, France
69 h-index
805 publications
49.4K citations

National Taiwan University
Taipei, Taiwan
67 h-index
467 publications
171.1K citations

Harbin Institute of Technology
Harbin, China
66 h-index
874 publications
44.1K citations

Shanghai Jiao Tong University
Shanghai, China
65 h-index
965 publications
47.8K citations
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469 publications · 50.3K citations
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746 publications · 46.5K citations
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449 publications · 50.9K citations
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170 publications · 31.3K citations
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523 publications · 29.4K citations
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