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- W148178222 abstract "⎯Support vector machines (SVM) was originally designed for binary classification. SVM has been recently applied to solve multi-class problems. And there lies the unsolving research issues on developing 2-class SVM into multi-class SVM. In this paper, five common multi-class SVMs have been reviewed and a new multi-class SVM has been proposed along with the comparison between the performance of one-against-half method and the other five multi-class SVMs. The experiments proved oneagainst-half method to be a qualified multi-class SVM. Keyword⎯One-against-half method, Support vector machines, Multi-classification. ∗ Corresponding author’s e-mail: s929603@mail.yzu.edu.tw International Journal of Operations Research 1813-713X Copyright © 2009 ORSTW" @default.
- W148178222 created "2016-06-24" @default.
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- W148178222 date "2010-01-01" @default.
- W148178222 modified "2023-09-27" @default.
- W148178222 title "On Multiclass Support Vector Machines: One-Against-Half Approach" @default.
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