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PKIP tool has an advantage over the traditional document categorization methods in that it can correctly categorize the question item which lacks keywords since it adopts the feature selection technique and support vector machine approach to item bank text categorization.
This understanding can form a foundation upon which categorization methods can then build.
For the Off-Peak scenario, the safety impacts obtained from the two categorization methods differ substantially.
For the Near-Peak scenario, the average relative safety benefits obtained from the two categorization methods are again similar.
Our initial consideration is the emotional categorization methods where the interpretation accuracy of expressions and physiological responses is challenging.
In particular, we compare two categorization methods, namely an ad hoc method, and a near-optimal method.
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In this paper, we present a new object categorization method robust to surface markings and background clutters.
In the Peak scenario, however, near-optimal categorization method provides a higher estimate of the safety benefits.
For the Peak scenario, the use of near-optimal categorization method suggested an average relative safety benefit (i.e. improvement in safety) of 44.3%.
The use of ad hoc categorization method, with all other aspects of the analysis unchanged, estimates an average relative safety benefit of 40.1%.
Different methods have been proposed for the evaluation of noise in cities, including the categorization method, which is based on the functionality concept.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com