A method for signal waveform extraction is proposed, which is based on nonparametric waveform atom.
提出一种基于非参数原子的信号波形提取方法。
Indicator Kriging is a nonparametric statistical method which can make spatial estimation without abandoning peculiar value of reservoir parameters.
指示克立格是一种非参数统计方法，它能在不舍弃特异值的条件下进行有效的空间估计。
A new nonparametric regression learning algorithm for RBF neural network is presented. It is a novel method involving a combination between regression trees and RBF networks.
介绍了一种新的非参数回归RBF神经网络学习算法，该算法将R BF神经网络与回归树结合起来使用。
The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.
均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
The purpose is to estimate unknown parameters and nonparametric function using a polynomial spline method.
旨在利用多项式样条方法，对未知参数和非参数函数进行估计。
The k-nearest neighbour classification is a very popular and successful nonparametric classification method, but its classification performance usually suffers from the existing outliers.
近邻分类是一种流行且成功的非参数分类方法，但其分类性能由于离群点的存在而受到损害。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
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。
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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