Firstly,screen the descriptors using support vector machine regression(SVR) by leave-one-out method based on the minimum mean square error(MSE),get the optimal kernel and the corresponding retained descriptors.
首先以均方误差(MSE)最小为原则,以留一法通过多轮末尾淘汰实施分子结构描述符的非线性SVR汰选并给出最优核函数和相应保留描述符;其次基于待测样本与训练样本保留描述符向量的欧氏距离,以不同k-近邻群子模型双重留一法预测值反映样本集的异质性;然后基于MSE最小,以留一法通过多轮末尾淘汰实施近邻群子模型的非线性SVR汰选并给出最优核函数和相应保留子模型;最后基于保留子模型以双重留一法实施组合预测。
For the generalized linear model with aggregated data:Y=Xβ+u,Eu=0,Var(u)=σ2∑,this paper is built two kinds of biased estimators: ridge estimator β(k)and improved ridge estimator β(k)which are discussed some superiority to the estimators in the sense of mean square error.
在均方误差意义下,研究了它们的优良性,并将岭估计与改进岭估计进行了比较,推广了有关文献中的结果。
As to seemingly unrelated regression system,a new biased contracting estimator of the parameters is put forward,which is the combination of generalized ridge covariance-improved estimator and Stein estimator,and the good features of this estimator in mean square error is discussed.
对于一类相依回归系统,结合广义岭型协方差改进估计与Ste in估计,提出了一种新的有偏压缩估计,,并讨论了该估计在均方误差下的优良性质。
A Motion Estimation Algorithm Based on the Quantized DCT Coefficients MSE Criterion;
基于量化系数均方误差准则的运动估计算法
For a class of seemingly unrelated regression system consisting of two equations,an improved estimation of principal components is proposed and the optimal properties are discussed in the sense of mean squared error(MSE).
针对两个相依方程组成的一类回归模型,提出回归系数的一种组合主成分改进估计方法,在均方误差意义下讨论了这种估计量的优良性质,研究了此估计与主成份改进估计的关系。
Under the MSE criterion,some properties of the improved c-k estimators are given.
针对设计矩阵Xi呈病态时的半相依线性回归系统,提出了系统参数iβ的一种c-k型改进估计,并证明了这种估计在均方误差意义下的若干优良性质。
Bias of the Estimator Double Sampling for Multiple Linear Regression and Estimate of Mean Square Errors of this Estimator;
双重多元线性回归估计量的偏差和均方误差的估计量
Interval Estimation of Mean Square Error for Linerar Statistic Model;
统计模型中误差方差的均方误差的区间估计
The method focuses on minimizing the ensemble mean square error of the estimation.
该方法可以估计的总体均方误差最小。
Mean Squared Error Matrix of Two-Stage Estimete in Fay-Herriot Model
Fay-Herriot模型中两步估计的均方误差矩阵
Unbiased Estimation and Biased Estimation in the Sense of the Mean Square Error
均方误差意义下的无偏估计与有偏估计
Image denoising of coal dust based on improved minimum mean square error estimation
改进最小均方误差估计的煤尘图像去噪
linear-minimum-mean-square-error estimator
线性最小均方误差估计量
Using mean square error as the evaluation criterion, performance of several estimators based on capture-recapture models were evaluated.
使用均方误差对几种基于捕获－重捕获模型的估计器性能进行评估。
Variance Component Esti mation with Gross Errors or Systematic Errors
含有粗差或系统误差的方差分量估计
A Channel Estimate Algorithm Based on Least-Mean-Square Error in Wireless LAN;
一种基于最小均方误差的无线局域网信道估计算法
ESTIMATION OF THE ERROR VARIANCE BASED ON KERNEL ESTIMATION IN VARYING-COEFFICIENTS EV MODEL
变系数EV模型基于核估计的误差方差估计
Researches on the Convergence and Error Analysis of Meshless Methods;
无网格方法的误差估计和收敛性研究
Optimal Error Estimation on Semi-discrete Solution of Parabolic Equation;
抛物型方程半离散解的最优误差估计
A New Posteriori Error Estimates for Adaptive Finite Element Method
一种基于有限元方法的后验误差估计
A POSTERIORI ERROR ESTIMATION ON ANISOTROPIC MESH FOR POISSON EQUATION
Poisson方程各向异性网格的后验误差估计
Optimal Error Estimates for Fourier Spectral Approxiation of the Generalized KdV Equation
广义KdV方程Fourier谱逼近的最优误差估计
The Random Error Variance Consistentestimate of Measure Error Quadratic Multinomial Regression Model
测量误差二次多项式回归模型随机误差方差的相合估计
On the Question of Admissibility of Quadratic Estimators of Error Varuance in a Linear Model
线性模型中误差方差的二次估计的可容性