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These strategies range from the simplest activities, such as reading, classifying, using or sharing information, to others with a higher level of intentionality and cognitive complexity, such as monitoring, self-assessment or personal management.
The sequences were pre-clustered (allowing a maximum of 4 mismatches per sequence) and chimeric sequences were removed using UCHIME software [ 50] and sequences have been classifying using RDP v10 database (allowing at least a bootstrap value of 65%%) and sequences not identified as bacteria have been removed.
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Normal and epileptic EEG signals were classified using linear classifier.
Second, the color histograms in an ROI were classified using a trained classifier.
The output file contained thirty two sequences, which were classified using the RDB classifier [40].
Subsequently, the remaining low-confidence points are classified using the trained classifier.
The extracted feature vectors are classified using a SVM classifier.
New examples are then classified using the trained classifier.
Using these features, EEG signals were classified using a Fisher discriminant (FD) classifier [42 44].
All combined bands were classified using a supervised maximum likelihood classifier.
Fractures were classified using AO system.
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