Sentence examples for well performing cases from inspiring English sources

A number of papers introduced some form of a control or comparator through the selection of well performing and less well performing cases.

Examples of the pipeline results and sample HTML reports (i.e. basic output of the pipeline, as well as reports generated by performing case-studies) are provided as supplementary material (Additional files 3 and 4).

In this case, generally well performing methods should be applied and, if possible, results should be validated by additional experiments (e.g. RT-PCR).

In addition, we explore the behavior of a "pseudo-boundary condition," which is in fact not a proper boundary condition at all, but discretization and truncation errors mask its redundant nature and allow it to perform well in cases where there is little upstream signalling.

In addition, we used an administrative definition of diabetes to define our cohort and, although this definition has been shown to perform well, some cases may have been misclassified.

Moreover, our results suggest that escapees do not necessarily have low condition factor (used here as a proxy for nutritional status), suggesting that contrary to previous indications (Valiente et al. 2010), farm lineages can perform well in cases when native populations are absent and/or when they are found admixed with other genetic backgrounds.

The aim of this work is to propose a new algorithm based on this approach with low complexity and which performs well in case of large-scale problems.

On the contrary, our algorithm can perform well in case of rereading and/or skipping behaviors because the fixation lines are matched with each text line independently.

"In the Studio" rolls on this week by hosting an ex-management consultant who grew tired of that career path, wrote a book about how to prepare for and perform well during case-style interviews, self-published the work and started to make money from those sales proceeds, and eventually ended up in YC to help build out his new content-publishing business, Hyperink.

While SVMs are known to produce classifiers that perform well in case of unseen data [ 49], SVMs are essentially black-box classifiers.

Here, we see that though the former performs well in cases of lower covariance values, it shows a clear downward bias in cases of larger covariances.