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Another work of interest was proposed by Xu et al. [21], which uses a restrict set of supervised data classified with a SVM classifier, using non-ranked data to improve the learning.
The leave-one-out error rate is the average error rate when each sample is classified with a k-NN classifier that has been trained with the remaining n-1 samples, thereby yielding a single performance measure.
The similarities from both pathways are concatenated to a feature vector and classified with a bank of linear classifiers by SVM.
They are classified with a points score from 0.5 for those with the least physical function to 3.5 for those with the most.
Three-person keelboat: Sailors are classified with a sport class from 1 to 7, with 7 indicating the least severe impairment.
(When he finally reached an administrator at the girl's old school days later, he discovered that she had been classified with a severe learning disability).
They are both asking whether people should be classified with a particular group using the old criteria of skin color or language, or whether they should be classified based on behavior or attitudes.
As a result, 1000 samples were analyzed and classified with a process effectiveness of 95%.
In this technique, the mixture components are classified with a fuzzy clustering algorithm.
After 3 months, the answers were classified with a unique number in the EXCEL spread sheet.
Finally, the selected features were classified with a boosted tree algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com