Sentence examples for the accuracy of categorization from inspiring English sources

We analyzed the results of the memory task as the accuracy of categorization in conjunction with correct recognition of old partners.

By measuring the accuracy of categorization at different eccentricities from the fixation point, we were able to determine the spatial extent and the distribution of accuracy over the FA, as well as the speed of categorizing objects using stimulus onset asynchrony (SOA).

Hence, we categorized HD modifiers based on different semantic similarity measures and assessed the accuracy of the categorization as we did for the GO Slim-based categorization in Figure  4A.

Subsequently, the expressions for the parameters in the throughput expressions are derived for the two flows for each category, throughput for different packet sizes is computed, and the computed values are compared with simulated results to highlight the accuracy of the categorization and the throughput analysis.

This categorization was done by looking for specific keywords within the first few words of the description, and since there is no controlled vocabulary the accuracy of this categorization approach was validated by random sampling and manual examination (see Methods).

Two independent researchers verified the accuracy of the categorization and minor modifications were made to it after their input.

Participants received no feedback regarding the accuracy of their categorizations.

On the other hand, if the two decisions involve the same underlying process, and if the previous results are due to differences in the items, then there should be no difference in the accuracy of recognition and categorization behaviour.

To evaluate the accuracy of the automatic categorization of resources as databases and software, we manually classified three separate lists of 50 resource names: The first group had 50 names randomly selected from the set of all unique names.

Fully automated image analysis improve the accuracy of detection and categorization of collagen staining, making this technique more sensitive, specific and thus suitable for use in quality assurance results.

It is interesting in this context that predictive modelling with random forests identified gender differences in the accuracy of cluster based categorizations and in the importance of specific measures, whereas conventional statistical analyses showed only one instance of a significant diagnosis by gender interactions.