Sentence examples for choice of error from inspiring English sources

This suggests that the choice of error metric plays a crucial role in assessing the capabilities of any lossy compression technique in terms of accuracy.

Using the analytical mover as a reference, we demonstrate that the choice of error estimator in the Crank Nicolson mover has significant impact on the overall performance of the implicit PIC algorithm.

Moreover, with so few data points it is difficult to see how Schick et al. could justify their choice of error distribution and link function ahead of other viable alternatives; this is important because alternative but equally justifiable choices could lead to very different results, particularly with regard to the whereabouts of the upper confidence limits.

Following [19], the optimal loss function in a maximum likelihood sense for a particular choice of error distribution (P psi _i)) can be formulated as: begin{aligned} l psi _i) = - ln {P psi _i)} end{aligned} (24) Therefore, using (24) and removing all factors constant with respect to (psi _i), we can obtain the optimal loss functions associated to a given choice of noise distribution.

Four factors (choice of error metric, classifier, error estimator, and event balancing) were investigated by theoretical assessment, simulation study, and application to 7 human microarray datasets.

Fundamental to the assessment of predictive signal of molecular signatures is the choice of error metric that is used to quantify predictivity.

This program also calculates the error estimates for these listings for variable choices of error estimates for this program's numerical output and is available on request from the second author of this paper.

The present paper showed that choices of error metric, classifier, error estimator and event balancing have large and compounding effects on statistical power.

Provided careful choice of model error parameters, we find that two entirely different hydrological modeling approaches offer comparable assimilation results.

Moreover, the choice of the error metric is crucial in assessing the required aspects of the data reconstruction properties.

The choice of the error function followed Bishop's suggestion[32], which was later clarified by Dunne and Campbell[33].