Sentence examples for accuracy of the multiple from inspiring English sources

To have good accuracy of the multiple regressed equations, the complete experimental design with 34 times (only four significant process parameters are considered) of experiments is again executed on Moldflow.

For getting accuracy, the compared algorithms are tested multiple times by running the k-fold cross validation technique on each data set, worth noting that the data set elements are rearranged and re-stratified before each round, and then, we keep the computed average accuracy of the multiple tests for each data set, (in our case: k = 10).

Another reason for putative phosphorylation sites being mapped to incompatible residue types is that automatic transfer of the modification annotation onto other sequence records depends on the accuracy of the multiple alignment models that define the domains.

As can be seen from Figure 12, the decoding accuracy of the multiple linear regression model in the X and Y directions increases as the number of training data sets increases.

Both approaches were able to locate the fluorescence inclusions; however, the quality of localization and the quantitative accuracy of the multiple time-gate approach were considerably improved compared to the pulse-integration approach (Fig. 7c).

This context-sensitive behavior improves the quantitative estimation of the potential correspondence between nodes belonging to different networks, ultimately, improving the overall accuracy of the multiple network alignment as we will demonstrate through extensive performance evaluation based on real and synthetic biological networks.

We analyze the intrinsic impact of free-tunable combinations of the relaxation rates controlling viscosity-independent accuracy of the multiple-relaxation-times (MRT) lattice-Boltzmann models.

Diagnostic accuracy of the multiple-disorder model enhanced with the Noisy-OR parameters was 6.7% better than the accuracy of the plain multiple-disorder model and 14.3% better than a single-disorder diagnosis model.

We compare the prediction accuracy of the multiple-biomarker tensor model created with N-PLS (N-way partial least squares) with the 2-way PLS applied to matrix data and an existing conformal Bayesian Network approach.

The accuracy of the multiple-kernel model compared to its genome-wide counterparts partially depends on the trait architecture as illustrated by the contrast between the examples where a trait is affected only by a few regions (the multiple-kernel model has high accuracies) or effects distributed homogeneously to the entire genome (genome-wide models have higher accuracies).

The accuracies of the multiple-kernel model compared with the linear and Gaussian kernel SPMMs and the mean genome-wide importance scores for regions used in our multiple kernel model over 30 replications of the experiment are summarized for different choices of the number of splits in Figure 2. The mean accuracies of the models for different traits are provided in Table 1.