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The motivational model basic ABFT as applied to data processing of blocks of real data is shown in Figures 1 and 2. The ABFT philosophy leads directly to a model from which error correction can be developed.
Frequent itemset mining, as applied to data mining, was used to analyse co-prescription of CHM for patients with urticaria.
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The equalizer can subsequently be applied to data symbols as long as the channel characteristics do not change.
The basic elements of OLAP and data mining as special query techniques applied to data warehousing are investigated.
As an example, these analyses are applied to data for desktop computers.
Two newly derived ICCs, appropriate to situations with 3 random factors (patients, examiners, and occasions) that bear a crossed (as opposed to nested) interrelationship, were applied to data from an experiment with random crossed factors.
One way or two way ANOVA with Bonferroni's Multiple Comparison Test were applied to data sets as appropriate (GraphPad Prism, version 4, La Jolla, CA 92037).
The chi-square test was applied to data expressed as a rate.
As an example, the procedure was applied to data collected in heart-surgery patients who underwent coronary artery bypass graft.
Our model could just as well be applied to data-sets in which non-conditioned stimuli are considered (e.g., data on individuals with substance abuse disorder, Wiers et al., 2011).
An R package is available and we believe that our proposed data generation scheme can be used readily as well as applied to other data sets and technologies.
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