The kernel estimate of nonparametric regression function has been researched recently.

非参数回归函数的核估计近年来已有了一些研究。

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Using linear programming technique and scaling kernel function, the support vector regression model was obtained.

通过线性规划技术和采用尺度函数作为核函数来实现支持向量回归模型。

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This paper introduced the selection principle and method about a reasonable kernel function and bandwidth based on the nonparametric kernel density estimation and kernel regression estimation.

本文基于非参数核密度估计与核回归估计的基础上，介绍了合理选取核函数及窗宽的原则和方法。

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