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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.
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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.
But, these methods require to handle the operations on several coarser levels where the communication costs are higher than the computation costs.
This was no time to tackle Psychology 200, a course on research methods required of majors.
This paper considers the drop-time technique in electrocapillary measurements and focuses on calibration methods required to convert the drop-time t of a mercury electrode into the value of the interfacial tension γ.
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.
Existing methods require a long duration on cluster head voting.
However, such methods require measuring water levels on a scale of seconds rather than the more typical scale of minutes employed in most well recorders.
However these methods require subjective assessments based on the researcher's knowledge and experience, or through expert knowledge elicitation involving highly experienced individuals from each work domain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com