Security Analysis and Improvement of Fair Exchange Protocols Using the Theory of Cross Validation 关于公平交换协议中使用正交验证理论的安全性分析及改进
Remote Sensing Image De-noising Algorithm Based on Integer Recurrent Generalized Cross Validation 基于整数递推GCV的遥感图像去噪算法
The transformer condition estimate model is constructed based on SVM and the parameter for SVM-based classifier is determined by adopting cross validation method. 本文建立了基于支持向量机(SVM)的变压器状态评估模型。采用交叉验证法确定SVM分类器参数。
This technique is by virtue of generalized cross validation and constructs an object function to acquire the asymptotic optimal threshold without of estimating noise variance. 该算法在不需要估计噪声能量的情况下,采用广义交叉验证准则构造目标函数,自适应获取近似最优阈值;
In experiments we also use cross validation to determine the number of selected primary components and kernel function parameter. 在实验中我们也使用交叉验证来确定特征脸数目和核函数参数。
Still image denoising based on integer wavelet transform and fast recurrent generalized cross validation 基于整数小波变换与快速递推GCV的静止图像去噪
Meanwhile, the protocol certificated its own fairness on the basis of right cross validation. 最后证明了在交叉验证理论可证明正确的前提下,协议具有公平性。
The ideal parameter values of experimental variance function are determined via cross validation. 经交叉验证,优选出理想的实验变差函数参数值。
The FT-NIR mathematics model for quantitative analysis of volatile matter in coal was developed. The optimum parameters of the model were studied using cross validation method. 建立了傅立叶变换近红外光谱定量分析煤炭中挥发分的数学模型,并用交叉验证法确定了最优建模参数。
Denoising method based on translation invariant and generalized cross validation 基于平移不变和改进的广义交叉验证准则去噪研究
Cross validation and prediction results show that this QSPR model is of good stability and powerful prediction ability. 交叉验证和预测结果表明,所建立的QSPR模型具有良好的稳定性和预测能力。
In order to raise the performance of multiple classifiers fusion, a new decision template algorithm based on the output vectors of support vector machine and the cross validation method is presented in this paper. 该文提出一种利用多个支持向量机分类器的输出向量来实现对分类器进行融合的决策模板算法,且采用交叉验证的方法得到模板,并将其运用到蛋白质结构类分类当中。
The thesis discusses the basic principle, the basic modeling method and the cross validation of Partial Least Squares regression, which is applied in the related analysis of hydrology and is compared with the Least Squares regression. 介绍了偏最小二乘回归的基本原理、建模基本思路和交叉有效性判别方法,将偏最小二乘回归模型应用于水文相关分析,并与最小二乘回归模型进行比较分析。
In order to test the equation stability and prediction ability of each model, it is essential to perform a cross validation ( CV) procedure. 为了检验模型的稳定性和预测能力,进行了留一法交互校验,相关系数均在0.98以上。
In the first block, a modified generalized Cross validation blur identification method was proposed. 在第一部分,提出了一种改进的广义交叉验证模糊辨识方法。
The stability and accuracy of predicted outputs were tested by the leave-one-out cross validation. 用缺一交叉验证法检验网络的稳定性与预测精度。
This article presents basic principle of cross-validation and introduces a support-finding approach based on CV principle. 文中介绍了CV(CrossValidation)的基本原理,给出了一种基于CV原理的支持域确定方法的详细步骤;
The optimal parameters of calibration models of them were studied using leave-one-out cross validation method. 利用内部交叉验证和自动优化功能对预测模型进行了优化,确定了最优建模参数。
The package implements CA and OCA, provides training, testing, cross validation, random training-testing and some other function. 工具包实现了覆盖算法、叠覆盖算法,提供了算法的训练、测试、交叉验证和随机测试等功能。
There are relatively typical methods to determine Gaussian kernel parameters σ such as gradient descent and cross validation. 确定高斯核参数σ比较典型的方法有梯度下降法与交叉验证法等。
And in this thesis, the idea of cross validation is also introduced. 引进了交叉验证的思想。
The experiment by using leave one out cross validation on two leukemia subtypes achieved good results. 3. 对白血病的两个亚型采用留一法进行试验,取得了良好的效果。
Therein, Cross Validation algorithm proceeds repeated random sampling and regresses the experimental data with Radial Basis Function neural network. Then optimal training data and systemic model are finally determined through optimizing above calculations. 其中,交叉验证法利用交叉验证原理和径向基神经网络对实验训练数据进行多次随机取样和重构检验,通过对重构结果的寻优处理,确定不含粗差数据的最优样本和系统模型。
Through the simulation experiment, we selected the radial basis function ( RBF) as the kernel function, and by the cross validation method we determined the best punishment factor for the ε-SVR algorithm. 通过仿真分析,确定了以径向基核函数(RBF)和交叉验证法选取最佳惩罚因子的ε-SVR算法作为建模的核心算法。
The algorithm used to cycle through the training process was optimized using cross validation and Web search strategy on SVM kernel function parameter selection. 并采用了循环选择算法对训练过程进行了优化处理,使用交叉验证和网络搜索的策略对支持向量机核函数的参数进行选择。
Grid search and Genetic Algorithm are adopted respectively to optimize parameter based on Cross Validation thoughts. The shortcomings of the two algorithms are pointed out after comparing the optimization results of the two algorithms. 基于交叉验证的思想,在分别采用网格划分方法与遗传算法进行参数优化后,对比了两种算法的优化结果,分析了两种算法的不足之处。
Some parameters in the algorithm are determined in the process of cross validation. 算法中,参数特征距离阈值用交叉验证的方法判定。
Cross validation results show that the using of support vector machine can classification data accurately when only rely on time parameters and ignore the distance parameter. 最后进行了交叉实验验证,结果表明,使用支持向量机对数据进行分类时只依靠时间参量,而忽略距离参量的分类结果比较准确。
And using cross validation to optimize the SVM penalty parameter and kernel parameter, effectively improve the prediction accuracy. 同时,运用交叉验证法优化SVM的惩罚参数和核参数,有效提高了预测精度。
The grid search method based on k fold cross validation error for selecting the model parameters of SVM is also presented. 针对支持向量机的参数选择问题,文中采用基于k折交叉验证误差的网格搜索法。