In this paper we present an improved dimensionality reduction method based on support vector machines.

提出了一种基于支持向量机的改进的降维方法。

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This paper proposes the concept of the decision table of the attributes reduction, and gives the method of the reducing attributes based on discernibly vector.

文章提出了决策表的区分向量的概念，并给出了利用区分向量进行属性约简的方法。

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This paper proposes a noise reduction method to DCSK communications system using weighted least square support vector machine (WLS-SVM).

本文提出了基于加权最小二乘支撑矢量机(WLS - SVM)学习算法的一种DCSK混沌通信系统降噪方法。

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This paper proposes a noise reduction method to DCSK communications system using weighted least square support vector machine (WLS-SVM).

本文提出了基于加权最小二乘支撑矢量机(WLS - SVM)学习算法的一种DCSK混沌通信系统降噪方法。

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