脑机接口,脑电信号,共同空间模式(CSP),集成支持向量机(SVM Ensemble),核心,国家级,CSSCI,EI,期刊,目录,发表,brain-computer interface, electroencephalogram, CSP, SVM Ensemble,模式识别与智能系统...
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This paper mainly focuses on the prediction problem by the application of hybrid and ensemble thinking into the modeling base on SVM.
本文基于混合学习和集成学习的思想,将这两种方法应用于支持向量机建模技术中,主要解决预测分析问题。
This paper proposed a selective Support Vector Machine (SVM) ensemble algorithm based on double disturbance to improve the generalization ability of SVM.
为了进一步提升支持向量机泛化性能,提出一种基于双重扰动的选择性支持向量机集成算法。
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