Sentence examples for a categorization approach from inspiring English sources

Essock and colleagues (Essock, Sinai, McCarley, Krebs, & DeFord, 1999; Essock et al., 2004) took a categorization approach to their tasks, asking participants to classify whether stimuli represented imagery types with content such as sky, trees, buildings, and water.

Furthermore, a categorization approach assumes that the threshold values are intractable, when commentary has begun to suggest that the reference ranges for optimal benefit may be too low [27] and depend on the disease or population characteristics being studied.

The use of such structured feature vectors in machine learning mirrors a categorization approach which is helpful in all learning processes, in which higher order (derived) features (concepts) are used along with elementary ones for sample classification.

These values were chosen after consultation with surgeons and were intended to reflect meaningful levels of experience; the estimates are obtained from the model including non-linear terms, not from a categorization approach.

Kaplan, 2001 [ 49] used a two-armed categorization approach, namely a simple subdivision into negative and positive.

In [28] Schultz et al. proposed a hashtag-based categorization approach in order to test the applicability of several machine learning techniques in conjunction with relevant feature selection algorithms for the text categorization problem.

We demonstrate a bottom-up categorization approach combining the IBS method and hierarchical cluster analysis to detect subgroups of subjects with HRV phenotypes associated with β-AR polymorphisms.

In conclusion, this study shows that a bottom-up, categorization approach combining the IBS method and hierarchical cluster analysis can detect subgroups of subjects based on phenotypes that are associated with β2-AR gene polymorphisms.

Thus, the widely favoured categorization approach inevitably goes along with a loss of information that can be avoided using a continuous variable, such as the latency until pressing the lever, and including a trial-by-trial 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).

We show that this bottom-up, categorization approach combining the IBS method and hierarchical cluster analysis can detect subgroups of subjects based on phenotypes that are associated with β-AR gene polymorphisms.