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This prevents the differential evolution from getting trapped into false maxima in the early stages of optimization.
All false maxima below c become 'true' maxima again.
These methods were assessed by measuring a number of indices including execution time, accuracy, number of false maxima, and full width at half maximum (FWHM).
We call them false maxima, we remove them from the list L M and insert them in a list L F ordered by their y-coordinates.
A direct implementation includes the insertion and deletion of maxima and false maxima into the corresponding lists in time O log n).
Note that false maxima have to be reinserted into list L M again as soon as they are covered by a new rectangle from either Q r (t) or R r (t).
Similar(53)
Based on our experiments, we have identified that when coarse_step = 20 TSS can detect false maximum points on the curve of efficiency (resulting from the hit ratios produced by the values of TW existing in the initial interval).
If the actual birth date distribution could be used, the maximum false match rate would be between these two estimates: using a more realistic distribution of birth dates results in an estimated false maximum match rate of 1.10% (based on uniform birth date distributions within six 5-year age groups).
Rank-one singular value decomposition (SVD) is applied to each small component to identify peaks, which can eliminate false local maxima in the component.
Below, for example, we will define clusters by the excursion set beyond a threshold calibrated to control false positive maxima to a 0.05 family-wise level (using Random Field Theory, Worsley et al. [ 2005]).
Sensitivity is the probability of identifying an object as positive when it is in fact positive [given by true positives/ true positives plus false negatives), maximum value being 1], and it is high.
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