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- When the Gaussian kernel function width is 2.0, RVM method possesses more perfect prediction performance. 当高斯核函数的宽度值取为2.;0时，相关向量机方法具有较为理想的预测效果。
- This paper proposes an improvement of LBF model，which utilizes a new kernel function instead of Gaussian kernel function. 提出了一个改进的LBF模型，它使用一个新的核函数代替高斯核函数。
- A novel approach is discussed to choose the bandwidth for kernel density estimation.Based on the Gaussian kernel function, the recursion formula of bandwidth is derived. 摘要在未知总体分布的情形下，给出密度核估计中选择窗宽的一个新方法，并在选取高斯核的情形下，推导出计算窗宽的递归公式。
- Gaussian kernel function 高斯核函数
- So they have better performance than adaptive Gaussian kernel. 因而，相对于自适应高斯核函数而言，两者性能更优。
- Theoretically how to choose Kernel function remains unsolved. 在理论上，怎样选择核函数，还是一个未解决的问题。
- In this paper, different kernel functions are also compared to each other.Experiments show that Gaussian Raial Basis Function (RBF) kernel overtakes the others in our application. 还对比了两种常见的核函数，实验结果表明高斯径向基函数能够取得比较好的分类效果。
- This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK. 摘要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。
- Super advertising shield and attached a crucial handoff IE kernel function. 附带超强的广告屏蔽和IE内核一键切换功能。
- A Gaussian kernel adaptive smooth filter is proposed, on the basis of which a scheme is designed to extract information of targets according to the feature that the gray level of point targets and the edge of regional targets are high and vary greatly. 文中提出了高斯核自适应平滑滤波,并在此基础上依据点目标和面目标的边缘灰度值高及变化大的特点设计出提取方法,然后用区域增长恢复没有被提取出来的面目标的内部。
- Kernel function is applied in PCA and DDA, so the linear discriminance method is dislinearized. 在主分量分析方法以及线性判别式方法中,引入核函数,使得原来的线性判别方法非线性化。
- 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。
- The kernel function is modified by means of a conformal mapping, which makes the kernel function data-dependent. 利用与数据有关的保角映射，使核函数具有数据依赖性。
- The kernel function can be unit hydrograph of deterministic system or time series model of stochastic system. 通常核心函数可为定率系统之单位历线或序率系统之时间序列模式。
- 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。
- Gaussian kernel with multiple widths 多宽度高斯核
- The algorithm solves nonlinear regression problems mainly through inductive-insensitive loss function and kernel function. 这里提出了核学习技术在储集层非均质特性描述中渗透率参数预测的新用途。
- 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。
- 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。
- A signal and noise separator based on SVM whose kernel function is Gauss function was used to distinguish the target signals from noises, and enhance the SNR by removing noises. 采用以高斯函数为核函数的SVM所构成的信噪分离器，对信号和噪声进行识别和分离，从而消除噪声，得到高信噪比的超声回波信号。
