Sentence examples for dataset to create from inspiring English sources

The smartphone app uses the commonwealth agencies and functions dataset to create a multiple-choice quiz game.

Here we used an extensive fish dataset to create a large pool of fish community metrics which were screened to create multimetric indices (MMIs) in eight ecoregions covering the conterminous U.S. Candidate metrics were tested for metric range, corrected for natural gradients using boosted regression trees, and then tested for repeatability and sensitivity to landscape disturbance.

In order to achieve a fair comparison, we use this dataset to create 3 sets of mixtures.

The quality is totally low using k = 4 for seed dataset to create stream of data because of the above mentioned problem.

For LDA, initially, the corresponding mean for each component are calculated and subtracted from the original dataset to create a new dataset.

IG, gain-ratio, chi-square and ReliefF filter methods are used to rank the feature set of the original dataset to create a mutually exclusive subset before selecting one-third split of the ranked features (i.e. 14 features).

We merged three lncRNA reference datasets to create a single combined reference of 67,157 lncRNA transcripts with no overlaps.

The ability to combine two or more datasets created by entirely distinct organisations and use common field headings to create personal data from pseudonymous data is now widely understood and relatively easy to build into legislative frameworks, but we are now seeing cases of firms using such datasets to create information that is more personal than the sum of its parts.

We discuss the basic principles of clinical image segmentation, including coregistration of multiple imaging datasets to create an anatomic model of interest.

The focus of the company, expected to go public with a $110m initial public offering on the NYSE today, is two-fold: on the utility side, it helps companies capture and analyze large datasets to create business value; on the consumer side, it offers various platforms for engagement.

A minimum requirement of any post-processing software package is the ability to perform multiplanar reformats (MPR) of 3D CT or MRI datasets to create 2D images in coronal, sagittal, oblique or curved planes [64].