Sentence examples for selection for identifying from inspiring English sources

This article describes and evaluates search-based techniques, using evolution strategies and subset selection, for identifying regions of the input domain (known as subdomains) such that test cases sampled at random from within these regions can be used efficiently to find faults.

This matrix was subjected to K-means clustering algorithm and model selection for identifying genetic clusters, and discriminant analysis of principal components (DAPC) for describing the clusters using 'adegenet' package in R [ 57, 58].

We introduce a novel method, Birth Date Selection Mapping, for identifying loci that are responding to ongoing selection.

We report the diagnostic validity of a selection algorithm for identifying epilepsy cases.

This paper provides a descriptor guided selection strategy for identifying new potential chalcopyrite chemistries materials for solar cell applications.

A description of the selection process for identifying the appropriate engine technology to satisfy these attributes is given.

This study shows that the selection process for identifying appropriate saline formations should not only consider their size and permeability but should also consider their degree of heterogeneity.

In addition to a representative overview of the properties, general concepts based on solid state physics are considered for material selection and for identifying criteria linking the core/shell structure and its resulting properties.

Sampling design, with a predetermined sample size and consideration of budget and spatial variability, is a selection procedure for identifying a set of sample locations spread over a geographical space or with a good feature space coverage.

The aims of this study were to develop and evaluate a simple index for assessing the risk of fractures after a fall and to propose a selection strategy for identifying elderly individuals at high risk of both falls and fall-related fractures.

In the present study, we have developed a simple positive selection approach for identifying essential components of signaling pathways, such as TLR signaling, where ligand binding does not alter cell viability.