Sentence examples for four methods as a function of from inspiring English sources

The ROC curves in Figure 2 compare the true positive rate of the four methods as a function of the false positive rate at different prediction thresholds.

Figure 2 illustrates the computation time for the two methods as a function of the number of boundary discretization elements.

In Fig.  1 we show AREs in estimating standard deviation for the three methods as a function of sample size under simulated data from the selected five distributions.

In Figure 2, we show the size of the overlap between the two methods as a function of the iteration of co-training.

Figure 3 shows the Matthews correlation coefficient (MCC) of the four compared methods as a function of the different types of mutations that we investigated.

Also, the average stage design strength ratio as obtained from the three design methods as a function of stage period is shown in Fig. 5.

(B, C) Morphology of NWs for two pre-treatment methods as a function of the radial distance from the center.

We therefore sought to analyze the performance of the three mutation analysis methods as a function of histopathologically estimated tumor-cell content.

Figure 6 shows the MCC of the compared methods as a function of four categories of ASA.

(d) Percentage of Trac-looping predicted interactions confirmed by alternative methods as a function of distance in resting CD4+ T cells.

Two different sizes of training sets 5 and 10 parallel sentences were used to demonstrate the performance of the examined methods as a function of training set size.