One-versus-one Classification
One-Versus-One Classification is a multi-class classification strategy in which a binary classifier is trained for every pair of classes, distinguishing one class from another, and predictions are made by majority voting among all classifiers.
66
Publications
6.7K
Citations
231
Authors
113
Institutions
Publications per year
2017–2026
21
Variants
One-against-one ClassificationOvo Classification
Parents
66
In Defense of One-Vs-All Classification
Ryan Rifkin, Aldebaro Klautau · 2004 · 1.4K citations
In Defense of One-Vs-All Classification
RifkinRyan, KlautauAldebaro · Journal of Machine Learning Research · 2004 · 897 citations
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113

Universidad de Granada
Granada, Spain
4 h-index
5 publications
1.1K citations

Wrocław University of Science and Technology
Wroclaw, Poland
3 h-index
3 publications
174 citations

King Abdulaziz University
Jeddah, Saudi Arabia
2 h-index
2 publications
143 citations

Universidade Federal do ABC
Santo André, Brazil
2 h-index
3 publications
84 citations

Universidad de Jaén
Jaén, Spain
2 h-index
2 publications
858 citations

Universidad Pública de Navarra (UPNA)
Pamplona, Spain
2 h-index
6 publications
2.6K citations
University of New Brunswick
Fredericton, Canada
2 h-index
5 publications
703 citations
University of Illinois Chicago
Chicago, United States
2 h-index
5 publications
1.1K citations
1–8 of 113
4 publications · 286 citations
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3 publications · 935 citations
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TPAMI · 2 publications · 178 citations
2
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1 publications · 26 citations
1
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JMLR · 1 publications · 897 citations
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