Sentence examples for predefined confidence from inspiring English sources

This step is repeated for a range of fixed flux values until the objective function value exceeds a predefined confidence limit.

This test statistic t will follow a Student t-distribution with a degree of freedom of K - M - 1, and then we can obtain corresponding p-value to make decision on hypothesis with certain predefined confidence level.

If, according to this distribution, the proportion of fully susceptible animals is lower than the design prevalence (at a predefined confidence level), the flock may be considered scrapie free without performing any test.

If the event confidence value of a traffic event is higher than the predefined event confidence threshold, then it indicates that there were sufficient amounts of vehicles that encountered the same traffic event and the occurrence plausibility of this event is much more reliable.

Two different weights are defined: Confidence Metric Algorithm 1 uses the difference between the channel power and the predefined threshold, Confidence Metric Algorithm 2 uses the square of the difference between the channel power and the predefined threshold.

Confidence Metric Algorithm 1 uses the difference between the channel power and the predefined threshold, Confidence Metric Algorithm 2 uses the square of the difference between the channel power and the predefined threshold.

The first of these tests analyses sequence data from chromosome 22 of the Coriell sample NA12878 [ 22], and then compares results to a set of predefined high confidence calls published by Illumina as part of the Platinum Genomes Project [ 23].

SM Calls were split into three categories; "Undetected", "Lower Confidence" and "High Confidence" predefined by a set of SM specific Mutation Score thresholds.

Two selected studies (ALIZE and SEAL) predefined a 90% confidence interval of the treatment difference, but their conclusions were not affected by the use of the 95% confidence interval (which was used in this paper for homogeneity).

Equivalence to NEF1 was predefined as the 90% confidence interval of between-treatment differences in AUC being within −5 to +5 mm/min.

It utilizes a series of high quality class association rules (CARs) mined from the training dataset upon predefined minimum support and confidence constraints to build highly accurate classifiers [11].