为了定量衡量流形学习算法的降维效果, 通常 采用剩余方差 (Residual Variance) [ 1 ] 作为算法性能 的评价指标, 其定义如下: R = 1 - [ corrcoef (D G , D Y ) ] 2 , ( 2) 其中, D G 是所有点对之间的最短路径...
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... 样本方差;sample variance 残余方差;residual variance 期望方差;预期方差;expected variance ...
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... polled estimate of variance : 方差综合估计数，方差合并估计数 residual variance : 残差方差 residual-variance criterion : 剩余方差准则 ...
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... 残差处理效应 residual treatment effect 残差变异数 residual variance 残差等待时间 residual waiting time ...
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pooled residual variance [数] 合并剩余方差
Residual variance criterion 差值变异数标准
polled residual variance 合并剩余方差
residual-variance estimate 剩余方差估计值
residual-variance criterion 剩余方差准则
residual-variance estimator 剩余方差估计量
initial estimate of residual variance 残差方差的初始估计
The paper also gives an algorithm for estimating the variance of the imaging noises by computing residual deconvolution errors, which is used in the second step of the modified Wiener filter.
对改进算法中二次滤波的噪声方差参数选取采取一种计算反卷积剩余误差的方法，用在第二次滤波步骤中。
Residual bagging height contributes up to 94% of the total variance in the perception of fabric bagging.
残余起拱高度对织物起拱特性总方差的贡献在94%以上。
Kalman filtering method is widely used in data adjustment of dynamic surveying system, whose unit variance is usually computed with innovation vector of parameters and residual vector of observations.
卡尔曼滤波方法已广泛应用于动态测量数据的处理，其单位权方差通常按新息向量和观测值的残差向量进行计算，增加了观测值残差向量的计算。
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