核函数

词组短语

kernel function

与核函数相关的网络例句 [注：此内容来源于网络，仅供参考]

Then we propose a new kind of kernel function—autocorrelation kernel function.

核学习方法中核函数的研究：核函数是核学习方法的核心部分。

The paper simply introduced the basic principle of surface nuclear magnetic resonance and computed the numerical integral of nuclear magnetic resonance kernel function which contained double Bessel functions using the method of Gauss quadrature and continued fraction expansion, and then discussed influence of conductivity to nuclear magnetic resonance′s signal.

简要介绍了地面核磁共振找水的正演理论方法，采用高斯求积并结合连分式展开的方法对核磁共振核函数中包含双重贝塞尔函数的积分核进行了数值积分，进而计算出精度较高的核函数值，在此基础之上，讨论了导电性对地面核磁共振信号的影响。

Based on this, a method to estimate kernel parameters using the covariance function of the samples is presented.

证明了对于径向基核函数而言，采用变异函数估计核参数与采用协方差函数估计核参数的一致性。

The paper studies the form of the result of SVM with covariance function as the kernel function under some conditions, and draws the conclusion that Kriging is equivalent to SVM under those conditions. Based on the conclusion, we put forward the idea of using the covariance function as a substitute for the RBF kernel function of SVM.

摘要研究了支持向量机(support vector machine，SVM)方法在一定假设条件下，核函数取为样本协方差函数时解的具体形式，得出了在该假设情况下SVM方法等价于克立格方法的结论，提出了用协方差函数作为SVM核函数的思想。

In this paper, the performance of SVM based on Fourier kernel is studied which aims at the regression in signal processing questions, and the influence of parameter q on performance of SVM is analyzed. A conclusion is drew that the integral of Fourier kernel in one period is a constant and the concept of equivalent kernel function width is proposed.

本文针对信号处理中的回归问题，研究了基于傅立叶核函数支持向量机的性能，并分析了参数q对其性能的影响；根据推导得出傅立叶核函数在单个周期内积分为常数的结论，并提出了等效核宽度的概念；最后的仿真结果证实了，在信号处理领域，采用傅立叶核函数的支持向量机比采用径向基核函数的有着更好的性能。

The method improves performance of KPCA by reasonably combining a local conditionally positive definite kernel and a global kernel. The experiment results indicate the new kernel function certainly improves the performance of KPCA.

利用组合核函数提高核主分量分析的性能，该方法将一个全局核函数与一个新的局部核函数条件正定核函数进行合理组合，从而提高KPCA所提取特征的质量。

By using testing functions to make comparative research on the precision of approximate models which were built by RBF under the condition of different sample amounts and different kernel function types, a conclusion was drawn: the model quality built by Reciprocal Multiquadric RBF as kernel function was highest when the sample amout was big, and the model quality built by Gaussian RBF as kernel function was highest when the sample amount was small.

运用测试函数对在不同样本数量与不同核函数形式下所建立的近似模型的精度进行对比研究，得出逆多二次函数与高斯函数作为核函数分别在大样本和小样本情况下精度最高的结论，并验证了径向基函数近似模型方法能够兼顾效率与精度。

Then, we focus on the construction of a new type of kernels. It has been pointed out that the kernel function of SVM is equivalent to the reproducing kernel of a certain Reproducing Kernel Hilbert Space.

首先对线性核函数、Gaussian核函数等已经用于广泛实践的核函数的性能给出了简要评述，然后重点构造了一类新的核函数。

We all know that mother wavelet function can create waveletframe, and the kernel function with wavelet frame can build a group of basis insquare integral space only by translation.

由于母小波函数可以生成小波框架，我们用小波框架来构造核函数，而采用该核函数的SVM，能够逼近平方可积空间中的任意函数。

This paper first discusses the nature of the kernel function,and then based on Riemannian geometry dependent on the data structure and method,an improved modifying kernel function is proposed,the kernel function is a simple and less calculation method,which conformal factor and support vector irrelevant,compared with previous studies overcomes the impact of support vector's number and distribution.

首先讨论核函数的本质，并且基于黎曼几何结构和数据依赖的方法，提出了一种改进的修正核函数，改进后的核函数形式简单，计算量较低，其中保形因子与支持向量无关，较之于以前的研究克服了支持向量的数目和分布的影响。

与核函数相关的网络解释 [注：此内容来源于网络，仅供参考]

kernel approximation method：核近似法

kernel 核 | kernel approximation method 核近似法 | kernel function 核函数

conformal transformation：共形变换

首先,讨论了支持向量回归(support vector regression,SVR)的基本原理.然后,从信息几何的角度分析了核函数的几何结构,通过共形变换(conformal transformation)构建与数据依赖(data-dependent)的核函数,使得特征空间在支持向量附近的体积元缩小,

Fourier kernel window：傅氏核窗制

傅氏核函数 Fourier kernel | 傅氏核窗制 Fourier kernel window | 傅氏对 Fourier pair

inverse image of function：函数的逆象

inverse function 反函数(逆函数) | inverse image of function 函数的逆象 | inverse kernel 逆核,反向核

kernel function：核函数

它将描述场的函数用"核函数(kernel function)逼近"近似表达为任意函数和核函数的乘积的积分(实质为将某一点的属性用另一区域的属性来描述,核函数建立这两者之间的关联),然后作"质点逼近",用一系列粒子将这个场离散化(即积分式的级数表达).

Kernel of density function：密度函數的核

Kernel 核 | Kernel of density function 密度函数的核 | Kernel regression 核回归

symbolic function of kernel：核的符号函数

核的符号函数 symbolic function of kernel | 符号语言 symbolic language | 符号论理学 symbolic logic

Kernel estimation of density function：密度函数核估计

二阶正规变化函数:convergence of the density function | 密度函数核估计:Kernel estimation of density function | 传感器:Gaussian Noise

eukaryote：真核细胞

每一种真核细胞(eukaryote)生物都具备 ...子的存在,波函数便会崩解(collapse)到侦测器的位置上,也就是观察粒子的行为会使空间各. 点的波函数同时改变,似乎在未侦测前空间就充满了粒子随时等待崩 ...使用光纤感测器(Fiber Optic.

quasi-radical ring：准根环析取核

准周期 quasi-periodicity | 准前来合取核范式函数 quasi-prenex conjunctive kernel normal form functions | 准根环析取核 quasi-radical ring