Sentence examples for predicting errors from inspiring English sources

The results of these studies show that both SHERPA and TAFEI are better at predicting errors than the heuristic technique.

In this paper, we derive thresholds for a set of structural measures for predicting errors in conceptual process models.

As a consequence, the parameters cannot be correctly constrained, the landscape of the predicting errors is quite flat, and the sensitivities of the resulting parameters are sloppy [ 18– 20].

As the lung motion is measured in three axes, we analysed the predicting accuracy for various configurations by a 3D mean absolute error (MAE) as follows: (17) e 3 D k = e 1 k 2 + e 2 k 2 + e 3 k 2, where e1, e2, and e3 are the predicting errors of corresponding axes, respectively.

A lower MCD and F0-RMSE value indicate smaller distortion or predicting error.

In this paper, we propose a new semi-analytical approach for predicting error probability in a digital communication system.

This model also outperformed the polynomial model remarkably in terms of predicting error, residuals range and the correlation coefficient between the experimental and predicted MRR values.

The function pdterror(X i ) calculates the predicting error of LSSVR model based on the selected features in X i.

Function pe(f i ) denotes the predicting error of LSSVR model with all the features except f i.

If the predicting error is obviously increased after moving out f i from the whole feature set, it indicates the feature f i is high predictive.

The value of pe(f i ) indicates predicting error of LSSVR model based on all the features except f i ; it is measured by MSE.