Sentence examples for high classifications of from inspiring English sources

A limitation may be caused by the somewhat arbitrary decision to combine studies into low, middle or high classifications of complexity and risk.

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.

Rather, it is more appropriate to consider the results of this analysis as sufficient to support only semiquantitative (low, medium, high) classification of phase-specific RBA values.

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].

Lastly, to our surprise, we observed higher classification of expression and gender in the remaining V1, during both tasks.

However, confidence scores for individual binding sites can be assessed by a standardized statistical analysis to allow a higher classification of strength of evidence for a subset of the data.

Graduate entry programmes encourage applicants who hold a higher classification of degree, and match a set of criteria determined by the institution, to study to become a healthcare professional.

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.

Canonical analysis of principal components (CAP) of all roving herbivorous fish yielded a high classification success of 93.1% across all habitat types (i.e. only 6.9% misclassification error).

To yield a high classification performance of the proposed TRS-based classifier, a genetic-algorithm-based learning algorithm was designed to determine parameter specifications of the proposed classifier.