核函数

The parallelepiped classifier,minimum distance classifier,Maximum Likelihood Classifier,Neural network and,especially,the newly developed Support Vector Machines were assessed in the object-based image analysis of VHSR data. The impacts of kernel configuration on the performance of the SVM and of the selection of training data of the four classifiers were also evaluated.

对比研究了平行六面体、最近邻分类法、最大似然法、神经网络等经典分类算法以及近年来新发展的支持向量机分类算法在基于分割对象的高分辨率遥感图像分类中的性能，详细分析了不同内积核函数对于支持向量机分类的影响。

A new filtering method for Synthetic Aperture Radar image is presented based on support vector regression and wavelet kernel function.

基于支持向量回归理论和小波支持向量核函数，提出了一种新的SAR滤波方法。

Then we propose a new modeling method: Support vector machine, especially the support vector regression, kernel function.

然后提出了一种新的建模方法：支持向量机回归算法，该算法的核心部分是核函数与两个模型参数的确定。

A distance is defined between two sample points in high-dimension space by means of kernel-function technique.

通过核函数技巧，定义了高维空间中两样本点之间的距离。

However,the performance of SVM with Gauss kernel is influenced greatly by the penalty parameter C and the scale parameter σ.

支持向量机的识别性能对参数的选取是敏感的，惩罚因子C和核函数参数σ对支持向量机性能会产生重要的影响。

In this thesis the exact kernel for the arbitrary wire structure is based on series expansion.

在本文中，适合于任意线结构的确切核函数是基于一系列扩展。

Based on the singular value decomposition of kernel matrix, SVD-LSSVM was proposed, which oan save time for hyper parameters selection via cross validation.

本文利用核函数矩阵的奇异值分解，得到了可以节省超参数选取时间的分类器：SVD-LSSVM。

The new sparse algorithms were applied to several real life pattern classification problems.6. Based on the singular value decomposition of kernel matrix, SVD-LSSVM was proposed, which oan save time for hyper parameters selection via cross validation.

另外，本文提出的稀疏化算法可直接应用于多类问题。6、本文利用核函数矩阵的奇异值分解，得到了可以节省超参数选取时间的分类器：SVD-LSSVM。

The uniqueness of solution of field point, inside a convex region due to singular source with kernel function decreasing with distance increasing, outside-region-distribution such that the boundary condition expressed by the response of the source is satisfied, is proved by using the condition of kernel function decreasing with distance increasing and an integral inequality.

应用奇源解的核函数沿距离递减的条件和积分不等式，可证这类奇源在凸域外分布只要满足以它产生的响应来表达的边界条件时，所引起相应的域内场点解是唯一的。

A new fault diagnosis method of machine based on the sparse kernel principle component analysis is proposed.

提出一种基于稀化核函数主元分析的机械故障诊断新方法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。