The contemporary literature on linguistic classification extends the basic Lambek Calculus with richer forms of combination, in which more syntactic features can be modelled (see Moortgat 1995).
The Czechs' language separated from other Slavic tongues into what would later be called Old Czech by the thirteenth century, a classification extending through the sixteenth century.
The latter calculate either the probability for each class (classifier) or the final value (regressor) for each element in R. Classification In the case of classification, we extend the voting scheme, to perform probabilistic classification.
We used proteomic-based analysis of urine to improve disease classification and extend the pathophysiologic understanding of preeclampsia.
Romance makes use of gender classification to extend and modify its vocabulary, especially by relating the gender markers to sex differences (e.g., Romanian nepot, nepoată, Occitan nebut, nebudo, Spanish nieto, nieta, Portuguese neto, neta, Catalan net, neta 'nephew, niece,' with Italian invariable nipote, and French lexically differentiated neveu, nièce).
Nibali finished ahead of his rivals in the general classification to extend his lead by 40 seconds, while 37-year-old AG2R rider Peraud overturned a 13-second deficit to leapfrog Pinot and take second overall, despite having a flat tyre and needing to change bikes during the stage.
We report classification accuracies of over 95% for detecting the correct task modality within a 3 class classification framework, extending prior work to show that time series of glance allocations contain highly descriptive information that generalizes well across drivers of different ages, genders, and driving experience.
This classification is extended here to include the negative R-ratio region.
The seven flows of medicine classification was extended to include subcategories and to identify interrelationships between the flows.
Using midsummer images atmospherically corrected with a simple dark-object-subtraction (DOS) method, there is no statistically significant loss of accuracy as the classification is extended from the initial training image to other images from the same scene (path and row): temporal generalization is successful.
