Sentence examples for for similar classification from inspiring English sources

Exact(2)

The article concludes with a simulation study in which the Bayesian sequential strategy is compared with other procedures that exist for similar classification decision problems in terms of average test length, classification accuracy, and average loss.

Second, the experts apply the rules successfully, i.e., the rate of agreement was not meaningfully different from agreement reported for similar classification systems in other medical contexts.

Similar(58)

Colorimetric analysis of mutants from the bop promoter mutagenesis allowed for a similar classification of promoter strengths.

Central Pollution Control Board (CPCB, ADSORBS/3/78 79), has given pH range 6.5 8.5 for classes A, B, D, and E. and 6 9 for class C. Considering the similar classification for pH for this study, pH ranges for classes 1 5 are allotted in increasing or decreasing geometric progression and are shown in Table 1.

To calculate the covariance term between loci j and k separated by an average recombination factor r − we use a similar classification for the possible 160 different two-locus epigenotypes resulting from the initial cross.

A similar classification occurred for Bourriau et al. [5], intra-observer agreement could not be evaluated and the number of radiographs (n = 4) used was very low.

From the analysis of average accuracy as plotted in Figs. 3 and 4, we found that on Accute1 and Accute2, our method gives similar classification accuracy for the competing feature selection methods with all the four applied classifiers.

The same investigators have recently developed a similar classification methodology for visual fields obtained in the Ocular Hypertension Treatment Study OHTSS).

We performed similar classification experiments for informative feature selection on the BC data to distinguish DCIS from IDC samples.

Using a similar classification method for cubicle use, they reported that 6% of the cows showed cubicle refusal.

This finding suggests that in comparison with small populations, relationship assignments of samples originating from large populations potentially may require more loci for similar correct classification rate and/or certain categories may not reach satisfactory correct classification rates.

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