Hard Margin Svm
Hard Margin SVM is a support vector machine formulation that belongs to the class of linear classifiers and is distinguished by its strict requirement that all training instances be correctly classified without allowing any margin violations, thereby seeking maximum margin separation only under the assumption of linearly separable data.
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2017–2026
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Radius Margin Bounds for Support Vector Machines with the RBF Kernel
Kai-Min Chung, Wei‐Chun Kao, Chia‐Liang Sun et al. · Neural Computation · 2003 · 219 citations
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Petroleum University of Technology
Tehran, Iran
3 h-index
3 publications
160 citations
IBM Research - Almaden
San Jose, United States
2 h-index
5 publications
260 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
61 citations
National Institute of Technology Raipur
Raipur, India
2 h-index
4 publications
298 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
12 publications
228 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
103 citations
Islamic Azad University North Tehran Branch
Tehran, Iran
2 h-index
2 publications
90 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
2 publications
118 citations
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Repository · 4 publications · 118 citations
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