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Thus, judge accuracy curves need not be monotonic.
Based on the preceding analysis of the judge accuracy curve, we return to the cost analysis.
Although increasing the judge accuracy leads to a reduction in the optimal number of judges, paradoxically, decreasing the judge accuracy also leads to a reduction in the optimal number of judges.
Some evaluation procedures such as Cooke's method attempt to estimate judge accuracy with seed questions as part of the procedure [26] [28].
The Condorcet Jury Theorem shows that for equally accurate judges the judge accuracy curve monotonically increases as the number of judges increase.
We estimate judge accuracy by assuming each judge is equally accurate and then counting the times a judge failed to give the stage's top competitor the highest score.
Similar(36)
For judge accuracies near 50% or 100%, there is little benefit of adding additional judges, so that the optimal number of judges is 1.
The results can be shown in displays, which improve driver's judging accuracy.
Then, it extracts hue information of true color image and uses maximum entropy for image segmentation, judging accuracy of image segmentation by segmentation area whether it is in accordance with the 3σ principle.
This is consistent with recent research that suggests that optimal decision-making is a complex interaction of factors including the number of judges, the accuracy of those judges, and the decision rules used [12].
It is their responsibility to judge the accuracy of vote counts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com