Sentence examples for dataset identification from inspiring English sources

Elements of the framework suggest how an investigator might approach characterization of variability in the dataset; identification of appropriate datasets for comparison; evaluation of similarities and differences in variability between these datasets, and of possible sources of the variability, including those related to test conduct and test design.

The utilities can be summarized briefly as follows: analysing MMPs for a dataset, identification and saving significant transformations, constructing a delta-pair chart for a model, drawing molecular fragment transformation graphs, and searching for transformations that affect multiple properties in a desired manner ("transformation optimizer" utility).

MHD performed the dataset identification and retrieval, programmed the method in the R environment, performed pathway analysis and validation, and drafted the manuscript.

Table 6 Experimental results by using position-specific training data Method Dataset Speaker identification rate P01 P03 P05 P02 P04 Avg.

Table 9 Experimental results by using environment models (GMMs) as NNs selector Method Dataset Speaker identification rate P01 P03 P05 P02 P04 Avg.

In view of the fact that performance in keystroke dynamics is highly dependent on the dataset, the identification of benchmarking datasets turns out to be fundamental.

We apply this reasoning to a network dataset combining identification of direct competitors and selection of advisors among the elite of cancer researchers in France.

The different dimensions of the dataset allow identification of subtle correlations (rather than causality) between borrowers' daily behaviors and their financial behaviors.

Table 7 Experimental results by using combined training data (three known positions) on the first testing scheme Method Dataset Speaker identification rate P01 P03 P05 P02 P04 Avg.

In addition to illuminating the peopling process during the pioneering phase, the new dataset allows identification of more-recent genetic exchanges around and across Beringia (Figure 2).

In most existing studies, attentions have been focused on analysis of a single dataset and identification of genes associated with a single cancer clinical outcome.