太赫兹科学与电子信息学报, 2017, 15 (6): 1039, 网络出版: 2018-01-25   

基于复合核支持向量回归机的多类分类算法

Multi-class classification method based on support vector regression machine with composite kernel function
作者单位
1 海军航空工程学院 控制科学与工程系, 山东 烟台 264001
2 海军航空工程学院 七系, 山东 烟台 264001
引用该论文

陈垚, 宋召青. 基于复合核支持向量回归机的多类分类算法[J]. 太赫兹科学与电子信息学报, 2017, 15(6): 1039.

CHEN Yao, SONG Zhaoqing. Multi-class classification method based on support vector regression machine with composite kernel function[J]. Journal of terahertz science and electronic information technology, 2017, 15(6): 1039.

参考文献

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[3] BENNETT K P. Combining support vector and mathematical programming methods for classification[M]. Cambridge,MA, USA:MIT Press, 1999:307-326.

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[8] LAJNEF T,CHAIBI S,RUBY P,et al. Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines[J]. Journal of Neuroscience Methods, 2015:94-105.

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陈垚, 宋召青. 基于复合核支持向量回归机的多类分类算法[J]. 太赫兹科学与电子信息学报, 2017, 15(6): 1039. CHEN Yao, SONG Zhaoqing. Multi-class classification method based on support vector regression machine with composite kernel function[J]. Journal of terahertz science and electronic information technology, 2017, 15(6): 1039.

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