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In this study, we use the "probability of error reduction" p e presented in [54] to assess the differences in performance of the proposed weighting schemes.
Finally, in this work, we use the probability of correct rank detection as the performance measure and optimization objective, while existing work (except [23]) targeted at minimizing the MSE of the MIMO channel estimation [17 22].
Thus, instead of using the probability of a prediction of one-boxing given one-boxing, one should use the probability of the conditional that if the agent were to pick just one box, then the prediction would have been one-boxing.
For the calibration of weights, we use the probability of correct detection (PoD) of the R-D EFT [1, 4] as a reference, since the R-D EFT achieves the best PoD in the literature even in the low SNR regime.
They present evidence that this is the case in their sample of studies and indeed find that the sign/significance approach and an effect size-based analysis on a subsample of studies that use the probability of employment as the outcome variable yield similar results.
In order to evaluate the performance of our LR detectors, we use the probability of false alarm (Pfa) and probability of detection (Pd): Pfa = Pr Λ ̂ A 1 … A L > η / H 0 (44) Pd = Pr Λ ̂ A 1 … A L > η / H 1, (45).
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If the organism responds automatically to the detector, we can use the probabilities of responses given states to characterize the reliability of the detector.
To measure connectivity, we used the probability of connectivity index (PC).
The capabilities of both imaging techniques are investigated and compared using the probability of error as a criterion.
When berthing aid systems are used, the probability of extreme berthing velocities is lower, resulting in lower partial safety factors.
Using the probability of the reservoir lithofacies, we also compute a 3D isosurface probability model of the main oil reservoir in the studied field.
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