Sentence examples for mean error over from inspiring English sources

The only exception occurs at the Poker dataset where the mean error over all the learning process is lower when using confidence.

In particular, we now consider the maximum error across all compute nodes and all variables, rather than the mean error over local variables, and communicate the resulting time step adaptation over the cluster to achieve a unified evolution of the entire distributed grid.

The previous results considered the mean error over all available data; however, it is also interesting to look at potential differences in performance for subgroups of the data.

Compared to the controls, the random rotation group showed significant (p < 0.01, Wilcoxon rank-sum test on mean error over the first ten trials) facilitation of feed-forward learning in the +60° rotation block.

This difference is more pronounced in the cumulative error (p < 0.01, Wilcoxon rank-sum test on mean error over the first ten trials; Figure 2F) assessing feed-forward and feedback control.

Again, we see a trend in the initial learning of the second +60° rotation block showing that feed-forward learning in the random rotation group was facilitated compared to that in the naive group (p < 0.02, Wilcoxon rank-sum test on mean error over the first ten trials).

The mean error rate over all tones is applied to measure the performances of the approaches, i.e., it is assumed that all tones are equally important, regardless of their length.

Judging by the confidence intervals of the mean of prediction error, we are 95%% confident that the means of prediction error of Pr, Sn, STA, and STB are within the acceptable error of 2 mm; while others may have a possibility that the mean error is over 2-mm threshold.

Also, the confidence intervals reveal that we can be 95%% confident that means of prediction error of Pr, Sn, STMn, and STGn are within the acceptable error of 2 mm; others may have a possibility that the mean error is over 2-mm threshold.

VIM scores of index x i are described as the mean error rate over all trees in the RF ensemble.

The SD was small relative to the change in mean error rate over the thresholds, and so this number of repetitions was deemed sufficient (see Additional file 4).