您要查找的是不是:
- THE RELATIVE EFFICIENCY OF THE PARAMETER ESTIMATE IN LINEAR WEIGHTED REGRESSION 权回归模型中参数估计的相对效率
- The Performance Comparison of Several Estimate for Linear Weighted Regression Model Presented 权回归模型下几种估计性能的比较
- linear weighted regression 权回归模型
- Geographically weighted regression(GWR) technique, proposed by A. 地理加权回归(GWR)技术是由A.
- Text accounts were used to model diffusion among Kyusyu counties with a geographically weighted regression (GWR). 后者详细纪录了疾病扩散的路径与地理特徵。
- The linear weighted function was chosen to evaluate the state of sustainable land use in the urban districts of Shuangcheng Town in 1992,1997 and 2000. 应用线性加权模型对双城镇城区1992,1997和2000年的土地持续利用状况进行了综合评价;
- Geographically weighted regression(GWR),on the other hand,is a simple,but useful new technique for the analysis of spatial nonstationarity. GWR是一种简单、有效的技术,可以反映参数在不同空间的空间非稳定性。
- Then an adaptive, efficient unbiased estimator of Hurst index based on multiresolution wavelet analysis and weighted regression is presented. 针对基于小波的Hurst指数估计方法的自适应问题;结合方差分析给出了一种有效的解决方法;从而提出了自适应的参数估计方法;并且该方法在一般意义上是无偏的.
- The theory of local partial least square (LPLS) algorithm was described based on locally weighted regression algorithm(LWR). 报道了在局部加权(LWR)回归方法基础上,自主改进的更简单、实用的局部偏最小二乘回归(LPLS)的原理和方法。
- Results show that the proposed weighted regression calibration method is the most efficient and that the standard errors estimated using a bootstrap procedure are satisfactory. 对于参数估计量的标准差,我们则是利用拔靴法来估计,其结果的表现也与仿真的标准差很接近。
- In order to deal with software aging, a method based on robust locally weighted regression algorithm was presented to abstract aging trend from system resource usage. 该方法利用强局部加权回归算法对系统资源的损耗过程进行提取,得到软件老化的趋势估计,建立软件老化模型。
- Furthermore, the gradient descent and recursion least squares are used to optimize the parameters of the basis function and the linear weight of the output layer, respectively. 同时为进一步提高网络性能,采用梯度下降法与递推最小二乘法混合学习策略,分别对基函数参数(中心与宽度)和输出层线性权值进行学习。
- With the kernel weight based on similarly between target gene and sample genes,which localize missing value estimation,a new method based on weighted regression is presented. 利用相似性信息的核加权函数来实现缺失值回归估计的局部化,提出了基于加权回归估计的基因表达缺失值估计算法。
- While blending factors are gained using the energy function that contains image gradient,which conquers the blur and mackle problems in the overlap area if using the tradition linear weight function. 最后对于传统图像融合处理中采用线性加权函数通常引起的最终拼合图像重叠区域模糊问题,构造了包含图像梯度的能量函数,用于计算重叠区域的全局最优融合因子。
- linear weighted generalized list 线性带权值的广义表
- Slidee about Receptive Field Weighted Regression 演示:感受域加权回归
- By means of linear weighting and imposing appropriate boundary condition, the new approach would overcome the oddness of traditional reconstruction kernel function, and is more robust to noise. 该方法利用不同表面法向差分方法的重建核函数所具有的互补特性,通过对不同重建结果的四向线性加权可以克服经典重建矩阵的奇异性,并能增加算法的抗噪能力。
- robust locally weighted regression 强局部加权回归
- geographically weighted regression 地理加权回归
- mixed geographically weighted regression 混合地理加权回归