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。

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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。

youdao

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。

youdao