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CBQPL makes the confidence of pseudo-labeling rely on the clustering results.
In discussing their data, Mickes et al. (2011) suggested that a lifetime of experience in evaluating confidence of memories makes the confidence scale natural to use even with no special instructions.
The small number of cases makes the confidence intervals on univariate and multivariate analysis wide.
All methods share a bias problem which makes the confidence intervals based on asymptotic normal theory not fully accurate.
Similar(56)
What makes the 95% confidence interval a useful idea is that it's made fairly consistent across studies so you can see a confidence interval and it has a similar meaning.
First, we note that the standard errors of the estimates are small which makes the 95percentt confidence interval rather narrow.
This makes that the confidence level of the pWCET estimates obtained with (R^{prime }_{10}) is slightly lower than desired.
The more plays I make, the more confidence the coaches and quarterbacks will have in me.
More accurate data would simply make the ellipsoid confidence region shrink but not rotate.
Weak consumer confidence makes the job even harder.
America's recent loss of confidence makes the relationship even trickier.
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