本文提出了在有历史洪水情况下洪水频率的非参数核估计方法，克服了现行方法假定分布型式的局限。
A nonparametric kernel estimation of the flood frequency with historic information is presented in this paper. The limitation in assuming a distribution type is overcome.
该方法采用核密度估计模型来构造近似密度函数，利用爬山策略来提取聚类模式。
This method USES kernel density estimation model to construct the approximate density function, and takes hill climbing strategy to extract clustering patterns.
本文讨论了用非参数模型对儿童生长曲线进行拟合，给出了两种非参数曲线拟合方法：光滑样条和核估计。
This paper discusses childhood growth curve fitting by nonparametric models, and provides two methods for nonparametric curve fitting: smoothing spline and kernel estimator.
首先分析了自适应高斯核函数的局限性，并作了改进，同时给出了其参数估计方法。
This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.
本文提出一种可选择的计量方法，将“物”和“人”的因素定向加权到人均gdp分布的核密度估计中。
This paper provides alternative method which puts the factors of substance and people weight into the measurement of city distribution of GDP per capita.
以非参数核密度估计方法拟合江苏稻谷的亩产量。
Then the rice yield in Jiangsu is fitted by nonparametric kernel density estimation method.
对非参数回归曲线提出了一种新的核估计量和窗宽选择方法及修正偏倚置信带。
This paper gives a new kernel estimate, bandwidth parameter and the bias-corrected confidence belt for nonparametric regression curve.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
考虑到传统的历史模拟方法存在的缺点，采用基于核估计的历史模拟方法获得估计值及其置信区间，并用实例进行了分析。
Considering the flaw of history simulation method, the paper adopts kernel estimation method to estimate parameters and their standard deviation, and then gives case analysis.
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.
应用非参数核密度估计方法，可以由样本直径结构很好地描述总体直径结构，而无需假定总体的直径分布。
The population diameter structure can well be described by using nonparametric kernel method based on the sample data without assuming the population diameter distribution.
本文提出了利用一维核函数构造多维密度函数一个新估计的方法。
In this paper, a new kernel estimator of multivariate density is proposed by using a univariate kernel function.
本文较全面地研究了支持向量机的理论及应用方法，讨论了支持向量机中高斯核函数参数的选择问题，首次将支持向量机用于测井参数属性估计储层属性中。
This paper discusses the theory of SVM thoroughly, especially how choose the parameter of the Gauss kernel SVM, at last we discusses the application of SVM in predicting reservoir parameter form wel.
核密度估计方法从数据样本本身出发研究数据分布特征，不利用有关数据分布的先验知识，避免了模型估计和参数估计的主观影响。
The kernel estimation method analyzes the data distribution by not using the prior knowledge of data distribution. This method avoids the impaction of model and parameters estimation.
推广后的定位方法，可根据具体的目标定位场合，灵活选择核函数对样本点进行核密度估计。
Using this method, kernel function could be flexibly chosen to estimate sample point's density values according to different locating application scenes.
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.
多元统计过程介绍了三种主要的方法：主元分析法、偏最小二乘法和核函数概率密度估计法。
About multivariate statistical process, three methods are introduced: Principal Component Analysis, Partial Least Squares, Kernel Density Estimation.
他们利用基于概率的方法和自举的方法估计参数阈值，这个参数阈值能很好地描述线粒体基因在核基因组中的分布情况。
We used a keyword finding method and a bootstrapping method to estimate parameter values that represent the distribution pattern of mitochondrial genes in the nuclear genome.
实验结果表明该方法限制了非典型运动像素估计错误产生的噪声，并减少了核密度估计计算量，提高了算法的实时性。
Experimental results were given to demonstrate that the proposed algorithms are elimination of the typical non-movement noise point for estimated error and improving real-time capability.
实验结果表明该方法限制了非典型运动像素估计错误产生的噪声，并减少了核密度估计计算量，提高了算法的实时性。
Experimental results were given to demonstrate that the proposed algorithms are elimination of the typical non-movement noise point for estimated error and improving real-time capability.
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