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The complex network measures presented in the previous section work on classes.
The obtained values for objective function will be used to make two normalized measures presented in Eqs.
This is particularly evident for the classifier for dimension Title, which also showed the best results for the measures presented in Table 6.
Maps of standardised mortality ratios, relative risks or other similar statistical measures presented in the reviewed literature are useful for describing the spatial pattern of injury risk.
This is confirmed by the quantitative measures presented in Table 1, according to the Kolmogorov distance and χ 2 criterion [21, 27].
Complete sagittal plane gait data are presented in Fig. 4 with statistical evaluation of group results of key measures presented in Fig. 5.
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Compared to the results of conventional CNDP, the measure presented in this study can better improve the transportation network performance.
Let us now analyze the results under the information retrieval metrics of precision, recall, and F-measure presented in Table 5.
The multienvironment QTL analysis resulted in 16 QTL being found, with 11 being significant as judged by the probability measure presented in the Methods section.
Of the three SUV measures present in this test-retest analysis, the SUV normalised to whole brain mean activity performed most strongly.
‡ Measures present in the pooled Australian-Dutch data-set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com