在实际操作中,我们采用核回归 (Kernel Regression)的方法,对权值 进行构造。我们选择了高斯内核(Gaussian Kernel)作为权值的分布函数,并 设定核参数 h(称为窗宽)作为调整之用...
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This paper studies the kernel regression for image interpolation. Basing on anisotropic distance method, it proposes an edge-preserved kernel regression image interpolation method.
研究核回归图像插值问题,基于各向异性距离方法,提出一种边缘保持的核回归图像插值方法。
参考来源 - 边缘保持的核回归图像插值方法Common prediction models are becoming more and more, such as Markov model, Grey System model, ARMA/ARIMA model, ARFIMA model, Neural Network model, Chaotic Dynamics model, Non-parametric kernel regression estimation method, GARCH model and so on.
常用的预测模型有:马尔科夫模型、灰色系统模型、ARMA/ARIMA模型、ARFIMA模型、各种神经网络模型、混沌动力学模型、非参数核回归估计方法、GARCH模型等等。
参考来源 - 股票价格的影响因素分析及其预测·2,447,543篇论文数据,部分数据来源于NoteExpress
核回归方法是比较常用的一种非参数估计方法。
The kernel regression method now is the most popular non-parametric estimation method.
讨论了图像成像的基本模型,并提出了一种基于调整核回归函数作为正则项的序列图像重建算法。
The basic imaging model is discussed, and a novel algorithm based on steering kernel regression method as a regularization term for super resolution reconstruction of sequence image is proposed.
根据电网负荷混沌性的特点,提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
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