Multiclass Lagrangian support vector machine
Neural Computing and Applications(2011)
摘要
A support vector machine (SVM) has been developed for two-class problems, although its application to multiclass problems is not straightforward. This paper proposes a new Lagrangian SVM (LSVM) for application to multiclass problems. The multiclass Lagrangian SVM is formulated as a single optimization problem considering all the classes together, and a training method tailored to the multiclass problem is presented. A multiclass output representation matrix is defined to simplify the optimization formulation and associated training method. The proposed method is applied to some benchmark datasets in repository, and its effectiveness is demonstrated via simulation.
更多查看译文
关键词
SVM,Multiclass problem,Lagrangian SVM,Training method
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络