Sentence examples for number of categorizations from inspiring English sources

For this reason, we also evaluate the average number of categorizations in which users reported additional tags and observe the following facts.

Overall, Mandarin participants appeared to find the category assimilation task easier than did Cantonese participants (in terms of having a higher number of categorizations; i.e., tones were heard as a single native tone category), particularly for Thai level tones.

It should be noted that even if a more stringent categorization criterion was used in the prediction phase of the analysis, such as a label being selected 70%% rather than 50%% of the time (see Bundgaard-Nielsen, et. al. 2011), this would not have made a large difference to the number of categorizations in the VO condition, nor in any condition for the Cantonese group (see the Appendix).

So, Pixable pulls that fire hose of images and videos from Facebook, Twitter, Instagram, Flickr, YouTube, and Vimeo, aggregates them in one place, and then gives users a number of sleek categorization, sorting, and editing tools to help them find the most relevant content.

In the memory research literature, this measure is called SIM, source identification measure [40], and is calculated as the number of correct categorizations given correct recognition over the number of all answers (correct recognition and correct categorization, correct recognition and incorrect categorization, incorrect recognition) for each partner type.

A number of categorical variables were dichotomized to obtain the same categorization as at T1/T2.

Basically, Membo has a number of questions/topic categorizations in the Pulse section that users can post responses in.

* Number of subjects Categorization according to alcohol use behaviors also revealed significant differences in the components of MetS, with significant differences in blood pressure, fasting plasma glucose, triglyceride levels, and waist circumference among the groups.

Such discrimination may come in many forms, and be based on any number of levels of categorization including socio-economic factors, and cultural or ethnic background (interview 137).

Allaby evaluated a relatively small number (approximately 30) of categorizations and selected the one which provided the best model fit.

To address this concern, we developed software to automate the model calibration process (Steps 5 and 6) permitting the evaluation of a very large number (almost 5,000) of categorizations.