How do we choose the kernel function?
我们如何选择核心函式？
It is completely characterized by kernel function and training set.
支持向量机由核函数与训练集完全刻画。
How to make a kernel function which callable from both the host and device?
如何从主机装置使一个内核函数调用？
The principal result shows the potential application of this kernel function.
初步结果显示了该核函数的应用潜力。
Next, define your probe, which is an entry probe into the kernel function sys_sync.
其次，定义您的探针，它是一个探测内核函数sys_sync的条目。
With SVM, there is no a uniform mode to choice SVM's kernel function and its parameters.
在SVM学习中，对SVM的核函数及其参数的选择还没有形成一个统一的模式。
Design of a kernel function to improve the algorithm, those who are interested can look at.
一种核函数的设计改进算法，有兴趣的人可以看看。
For the crustal vertical deformation analysis, higher-order kernel function is not sortable.
就地壳垂直形变分析的实际情况而言，不宜采用高阶的核函数。
The kernel function model selected by LOO estimation can approach the best value satisfactorily.
应用LOO估算选择的核函数模型能够较好地逼近最佳值。
The kernel function model selected by LOO estimation can approach the best value satisfactorily.
应用loo估算选择的核函数模型能够较好地退近最佳值。
Some improvements are made on the spanwise integration of the supersonic kernel function method.
对超音速核函数法的展向积分作了改进。
It studies kernel function method with parameters optimized and its application in pattern clustering.
研究了具有参数优化的核函数法及其在聚类问题中的应用。
Therefore it is of great significance to study the properties of kernel function of support vector machine.
因此研究支持向量机的核函数性质，对于寻找核函数有重要意义。
Geological information at different depth was described by introducing a mixed window kernel function to SVM.
通过引入窗口核函数，准确地反映了不同深度的地质信息。
This table enumerates several probe types, including calling a kernel function and returning from a kernel function.
这个表列举了几种探针类型，包括调用内核函数和从内核函数返回。
In this paper, a new kernel estimator of multivariate density is proposed by using a univariate kernel function.
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。
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。
For this reason, several important properties of kernel function are discussed on the basis of support vector machine.
为此，在研究支持向量机的基础上，给出了核函数的若干重要性质。
As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space.
对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。
According to the statistic characteristic of covariance function, parameter estimation can be given for kernel function.
由协方差函数的统计特征，可给出核函数的参数估计。
The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
说明：为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。
Kernel function is the key technology of SVM, the choice of kernel will affect the learning ability and generalization ability of SVM.
核函数是SVM的关键技术，核函数的选择将影响着支持向量机的学习能力和泛化能力。
The comparison of different kernel functions for SVM shows that RBF kernel function is most suitable for recognition of grape disease.
不同分类核函数的相互比较分析表明，径向基核函数最适合于葡萄病害的分类识别。
In Chapter One, a new method of approximating the solution of second-order parabolic system using reproducing kernel function is devised.
第一章研究了一类二阶抛物型方程组的一种新数值方法-再生核函数法。
When the kernel function of the distributed delay takes the form weak kernel, the positive equilibrium is Absolutely asymptotically stable.
证明当分布时滞的核函数取弱核形式时，平衡点是绝对渐近稳定的。
The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for recognition of cucumber disease.
不同分类核函数的相互比较分析表明，线性核函数最适合黄瓜病害识别。
A kernel function method and the results of computing unsteady load on three-dimensional wings in transonic flow are presented in this paper.
本文给出了在跨音速流动中，计算三维机翼非定常载荷分布的核函数法和计算结果。
The selection of the kernel function parameter and error penalty factor affected the precision of the support vector machine (SVM) significantly.
核函数参数和误差惩罚因子的选择对支持向量机模型（SVM）的精度有较大影响。
The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for shape recognition of plant disease spot.
不同分类核函数的相互比较分析表明，线性核函数最适于植物病害的分类识别。
The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for shape recognition of plant disease spot.
不同分类核函数的相互比较分析表明，线性核函数最适于植物病害的分类识别。
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