Sentence examples for the largest confidence from inspiring English sources

The influencing upstream sub-pathof a task t of a workflow w is the upstream sub-path p with the largest confidence and smallest distance (distance is calculated by counting the number of edges from the first task of p to the last task of w).

Now, an unknown input sample x is assigned to the class with the largest confidence.

[U-C]glutamine produced the largest confidence intervals, which is expected as no C-labeling information is present in the major EMU basis vectors.

In general, approach one showed the largest confidence interval width corresponding to the overcoverage, whereas approach four and six showed very similar and small widths.

Of the two co-localizing QTLs for BW and SFW, BW defined the largest confidence interval (CI), which was flanked by SSR markers VvP18B19 and VvP18B32, defining a region equivalent to ~92 kb (chr18 26806909..26898947 [ 32]) in the 12x genome assembly of Pinot Noir PN40024.

In order to assess the effect of sequencing depth on quantitation accuracy, we investigated the confidence interval for measuring 50% 5-mC, which based on the binomial theoretical model, has the largest confidence interval radius, at varying sequencing depths (10 to 1,000,000 ×).

The large confidence interval observed in β (between 0.3 and 2.0) resulted from the fact that β had a small effect on the infiltration curve.

The large confidence interval of the nest count estimate is probably due to high variance in nest encounter rates, indicating the need for larger sample size and the substantial effort required to produce reliable results using this method.

Given the large confidence interval for the Harvard study, it seems more likely that the true number is closer to the lower limit in the range, along the lines of previous studies – and not the number that has been so prominently in the news.

The larger confidence interval in Q-leanring TCP is caused by the changes of the maximum congestion window size according to the optimal policy of Q-learning during the discovery.

This leads to relatively small sub samples, especially for Florence, and hence the large confidence intervals for odds ratios could also be attributed to a small sample problems (albeit the same small samples are used in both methods).