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For onset detection, the target variable is the F measure; for instrument recognition, it is the classification error rate; and for pitch estimation, it is the mean error rate using a tolerance of a half semitone.
We report estimates using a tolerance of 0.001 corresponding to 2,000 accepted draws from the hyper-prior.
Using a tolerance of 0.01 μM, as shown in Figure 3B, shows that the overall mean drug concentration is above the trough value during therapy.
Fingerprints from both BAC libraries were combined for contig assembly using a tolerance of 3 and a cutoff of 1e-50.
In Figure 3A, using a tolerance of 0.1 μM, the overall mean drug concentration is below the trough value during therapy.
The numbers of BAC clones used for contig assembly after editing are listed in Table 2. Contigs were assembled using a tolerance of 0.5 bp, starting with an initial Sulston score of 1 × 10-50.
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As exact matches do not occur, we used a tolerance of 30% of the feature's detector size along the horizontal axis for matching.
The TI's were calculated using a tolerance bound of 1e-10 and the computed values of p1 for proportions of 0.80, 0.85, 0.90 and 0.95 were 0.864, 0.896, 0.929 and 0.963 respectively.
Contours were smoothed via a polynomial approximation with exponential kernel (PAEK) algorithm using a tolerance value of 60 m.
Electrocardiogram gating was applied on the cardiac cycle with 16 frames per cardiac cycle using a tolerance window of 50%.
In order to ensure that we included homes and small communities that were not directly on a major highway or road, we used a tolerance value of 2500 m to ensure that close to 100%% of the population in any DA was included in the count.
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