Sentence examples for samples that improve from inspiring English sources

In this case, the random selection chooses samples that improve the results, while the statistical methods choose samples that obtain a small improvement in relation to the random one.

Highly specific, reliable biochemical signatures obtained from these small samples that improve diagnostic sensitivity could dramatically improve the clinical care of PC patients.

We are interested in future research into sampling methods that improve the model faster than random sampling in DNA copy number profile annotation databases.

In the perspective of accessing better performance, sampling strategies that improve the incoherence of the sensing scheme should be considered.

Here, we address this problem by developing a sparse audio frame-sampling method that improves event-detection speed and accuracy.

This includes the business model of synthetic biology, which is informatic in the sense that the freely available information in databases can be re-materialized into experimental samples that are improved, optimized or altered in respect of one or more of its properties.

A peripheral sampling site model that improves the prediction of Cmax values has been developed and validated in this study.

However, we wish to be more positive about the contribution that improving taxon sampling of conifers will make to phylogenetic reconstruction of seed plant phylogeny.

Fifth, we were unable to cross-validate our results by creating testing and validation samples that would have improved the robustness and reliability of the results because our sample size was limited.

The algorithmic challenge relates to minimizing the human annotation burden by collecting only those ground truth samples that are likely to improve the classifier.

To filter out samples that were clearly incorrect and improve our classifiers, we then calculated the proportion of matches, for each sample, between the observed eQTL genotypes and the corresponding inferred eQTL genotypes, omitted samples for which the proportion of matches was <0.7, and rederived the k-nearest neighbor classifiers with the subset of samples deemed likely correct.