Sentence examples for the categorization model from inspiring English sources

Among the top 100 features, IT features constitute between 22 and 45%, depending on the groups used to establish the categorization model.

That is, the expected co-occurrence statistics of the Focus and Evidence tags produced by the categorization model should be the same as the co-occurrence statistics manifested in the training data.

As for the categorization models, we have provided methods to retrieve the categorical information for each of the aforementioned models.

Most existing text categorization techniques deal with monolingual documents (i.e., written in the same language) during the learning of the text categorization model and category assignment (or prediction) for unclassified documents.

Text categorization pertains to the automatic learning of a text categorization model from a training set of preclassified documents on the basis of their contents and the subsequent assignment of unclassified documents to appropriate categories.

Firstly, as already stated, because it makes the simplistic assumption of a discrete categorization model of acetylation phenotypes (i.e., slow versus intermediate/fast acetylators) on the basis of genotypes, although heterogeneity in these categories has been recently demonstrated [ 33, 34].

PKIP adapts the "categorization learning model" to improve the system's categorization performance using the incoming question items.

Through the comparison between the categorization of model of care deduced by record linkage and the one registered in the BC database, three different exposure groups were defined.

As described above, a feature of the post-categorization model is that the psychometric curve after unilateral inactivations should be a vertical scaling of the control psychometric curve.

They rely instead on a dubious application of the psychological principle of loss aversion and a simplistic political categorization model, among other speculative arguments, each of which is unconvincing.

Specifically, cross-lingual text categorization deals with learning a text categorization model from a set of training documents written in one language (e.g., L1) and then classifying new documents in a different language (e.g., L2).