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1·The evaluation criterion is the root mean squared error (RMSE) between predicted ratings and true ones.

评判标准是预测打分和真实值之间的均方误差(RMSE)。

2·WELCH(1983) has given a mean squared error criterion for optimal design of single-response linear model.

WELCH（1983）给出了单响应线性模型均方误差准则下的最优试验设计。

3·It obtains low average mean squared error (MSE), fast convergence velocity and decreases the noise sensitivity at the same time.

该方法计算简单、均方误差小、收敛速度快，并且降低了算法对噪声的敏感性。

4·Generation into the optimal threshold AMSE (asymptotic mean squared error) provide options for moment estimates order of shape parameter.

代入最优阀值的渐近均方误差为我们提供了形状参数矩估计阶的选择依据。

5·Compared with the minimum mean squared error principle and the minimaxs principle this one needs smaller memory space and less computation time.

此算法相对于均方误差最小准则和最大误差最小化准则具有占用存储空间小和计算时间短的优点。

6·The results of experiments show that the proposed method can raise Signal-to-Noise Ratio (SNR), decrease Mean Squared Error (MSE) and preserve the shape of signal;

实验结果表明：该方法不仅能够很好地保持信号的形状，而且信噪比较高、均方误差较小；

7·The final result of the model was the addition of the two model's validation values, and the root mean squared error of prediction (RMSEP) was used to estimate the mixed model.

最终预测结果为两个模型预测值之和， 以模型的预测标准偏差（RMSEP）作为评价指标， 以便考察新方法的有效性。

8·The popular fidelity measurement method based on root mean squared error (RMSE) is unable to completely reflect the details of the sensitive information of compressed grayscale images.

常用的基于均方根误差(RMSE)图像保真度准则不能准确地放映一些灰度图像主要敏感细节。

9·The model of the MIMO-OFDM system in doubly-selective channels is derived and a lower bound of mean squared error(MSE) of the channel estimator using frequency domain pilot is presented.

基于双衰信道的频域响应，提出了一类双衰信道下多天线正交频分复用（MIMO-OFDM）系统的最优化频域导频设计方案。

10·It is demonstrated by simulation results that the proposed algorithm has better performance in terms of lower mean squared error and higher output signal to interference plus noise ratio.

仿真结果表明：在相同条件下，采用该算法得到的输出信噪比有明显的改善，输出的均方误差也大大减小。