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Given that each feature corresponded to a 0.5 Hz wide spectral bin this meant that both methods required on average approximately 17 Hz (one third of the 50 Hz bandwidth available) to reach optimal classification.
Both methods required on average five features (at 3.33 Hz per bin approximately 17 Hz) to reach maximum accuracy.
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Both methods required significant input based on observation, but use of the latter led to great increases in the accuracy of predictions.
This increased accuracy comes at a cost and consistency-based methods require on average N times more CPU time (N being the number of sequences) than a regular progressive aligner.
These methods required a chart on which positions were expressed as latitudes and longitudes rather than bearings and distances.
This was no time to tackle Psychology 200, a course on research methods required of majors.
For methods requiring information on background uptake (CT and AT), the background region needs to be defined by the user which might introduce some variations in the results.
Because of serial autocorrelation (Wooldridge test, p<0·0001) we use methods requiring data on the concurrent and prior-year success rates, which restricts our analysis to under 200 country-years.
Most methods require a restriction on this disparity range.
Traditional culture methods take a number of weeks to complete a diagnosis and even "automated" methods require considerable hands on time.
Therefore, their identification through computational methods requires strategies based on local alignments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com