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We have found that Ding's algorithm is the best existing method in rate-distortion, SCD, and AGOP performance, while Matsuoka's algorithm is the latest and simplest technique for SCD and AGOP.
Homology detection methods (BLASTP, TribeMCL) are more sensitive to the E-value cutoff than orthology detection methods in FP rate – especially at high E-values, where ortholog protein pairs are rare.
There was no significant difference between the two methods in the rates of pathogen detection even when excluding pathogens solely isolated by BC.
In spite of the speed-up by the proposed methods, degradation in rate-distortion performance is negligible.
Figure 8 shows that the proposed algorithm is better than the conventional methods in terms of rate distortion.
The experimental results advocate that the proposed technique outperforms the existing popular initialization methods in terms of convergence rate, error rate and convergence time.
Various authors have suggested using exponential smoothing methods for rating in other sports, such as those described by Strauss and Arnold 29 for racquetball and Clarke 30 for squash.
Wei and Keogh [13] presented that an 1NN classifier outperforms other similar methods in terms of error rate, when applied on time-series data.
One of the most applied methods in astrochemistry is solving rate equations numerically.
Nevertheless, using comparable diagnostic methods, rates in the community for Campylobacter, norovirus and rotavirus were similar to those in both the previous IID Study 12 26 and the Dutch SENSOR Study.
In these methods, production rate and flowing bottom hole pressure must be known.
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