Sentence examples for the high classifications of from inspiring English sources

To summarize classification accuracies were higher in posterior when compared with the anterior temporal cortex and were higher for classifications of (NV vs. rotNV) when compared with (clear vs. rot), this was likely to be driven by the high classifications of (NV vs. rotNV) in the left posterior STS.

The higher classification of the class Mammalia is based on consideration of a broad array of characters.

However, a recent reassessment of the higher classification of eukaryotes, based on ultrastructural and molecular approaches, recognized six supergroups, which can be tentatively referred to as kingdoms [84], and the marine phytoplankton species have representatives in four of these supergroups [85].

Beginning with a comprehensive character analysis pertaining to morphology, physiology, and behavior related to adults, larvae, and eggs, the useful taxonomic keys (adults and puparia) are presented for the genera of different geographic regions, followed by a comprehensive treatment of the higher classification of marsh flies (pp. 199 396).

Lewis Terman chose near' genius or genius" as the classification label for the highest classification on his 1916 version of the Stanford-Binet test.

The classifier of SVM decision tree (SVM-DT) takes advantage of both the efficient computation of the tree architecture and the high classification accuracy of SVMs.

However, this aspect might only have contributed to the discrimination between dementia patients and control subjects but not to the high classification accuracy of AD and FTLD patients as these were very similar in their age range.

The Least Squares-Support Vector Machine (LS-SVM) with Morlet wavelet and Radial Basis Function (RBF) kernels obtained the highest classification accuracy of 100% for the diagnosis of CAD.

Longden spent many years in the psychiatric system before earning a BSc and an MSc in psychology, the highest classifications ever granted by the University of Leeds, England.

Our proposed method achieved the highest classification accuracy of 94.25%.

The results show the higher classification accuracy of the proposed method in comparison with recent works.