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The designed hardware classifier is able to classify P2P traffic based on the static characteristic namely on line speed, and the Flexible Neural Tree FNT) based software classifier helps learning and selecting P2P traffic attributes from the statistical characteristics of the P2P traffic.
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This classifier is well suited for the hardware implementation.
An LDA classifier is a canonical nearest centroid classifier.
"Our computerised classifier was able to correctly detect the epileptic abnormalities in 73percentt of the patients.
Classifiers are inescapable in Mandarin.
Classifier ensemble methods and simple classifiers were examined.
Consequently these three classifiers were discarded.
Thresholded classifiers were customized for each stain.
But the hardware platform is basically fixed.
Increasingly, hardware itself is becoming a service.
First, the PC hardware business is passé.
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