Sentence examples for categorizing features from inspiring English sources

Two physicians experienced with critical care reviewed >1,000 CXR reports to empirically develop a lexicon focused on categorizing features associated with pneumonia (Table  1) within three broad categories: (1) terms and term groups; (2) uncertainty profiles; and (3) 'other' features.

John Legere may have drawn the ire of the EFF and others for his network's controversial Binge On data categorizing feature, but the evidence so far has shown that customers really are big fans of it (even if it is crappier quality due to data throttling).

Facebook is testing the effectiveness of hashtags and is considering adding the categorizing feature to its site, reports the WSJ citing sources familiar with the matter.

Under the objective to categorize features by speech properties that are employed, we have given an overview of established approaches.

This article describes a framework of analysis that categorizes features of website design in a matrix of business functions versus customer values.

We categorized features of this applet into four subcategories: (1) features over which a user does not have any control and remain static, (2) dynamic features that allow users to directly manipulate objects, (3) dynamic features that update to provide feedback to users during problem solving, and (4) features that activate parts of the applet.

If one goes back to the beginning of the twentieth century, one finds that "national styles" were often referred to for categorizing certain features characterizing mathematical production that seemed to fall squarely within national lines.

Documenting the decision rules for categorizing the features of State policies is a critical concern.

b and d categorize point or line features, whereas c and e categorize area features.

Yu and Liu [ 15] proposed to categorize the features into four classes, namely: I: irrelevant features, II: weakly relevant and redundant features, III: weakly relevant but non-redundant features, and IV: strongly relevant features; where III and IV comprise the optimal feature subset and I and II should be removed using feature selection methods.

The cloud properties related to the categorized variation features are then analyzed.