Exact(1)
First, classifiers may be located across different sites that are willing to cooperate to provide services, but are unwilling to reveal proprietary information about their analytics, or are unable to exchange their analytics due to the high transmission overheads involved.
Similar(59)
Therefore, we train two classifiers where the first classifier uses PCA + DIVS and classifies a test image into cars and vans.
Our first classifier is a standard logistic regression classifier trained on tweets.
The first classifier uses the short-time Fourier transform to characterize the patterns, while the second uses the chirplet transform.
In the first classifier stage, all 105 963 sub-windows should be inspected using four features with eight array references each.
For example, if the ranking is "2" according to the first classifier, the result is represented as "000010".
First, classifier accuracy is reported for the three-class discrimination task (i.e., control vs. mild vs. moderate/severe).
This hybrid architecture is based on the idea that the correct class almost systematically belongs to the two more relevant classes found by the first classifier.
As mentioned in Section 3, the first classifier stage is slightly different from the others since it should evaluate the whole image.
Then, a first way is to design a fuzzy system with seven (07) inputs (three inputs from first classifier, three inputs from second classifier, and one confidence parameter input) leading to a fuzzy rule base built of 3(^{7}) = 2,187 rules which is unfortunately a huge rule number difficult and hard to implement.
Training first classifier C 1 with first sample documents subset D 1, mark the set of documents which be misclassified by C 1 in D 1 as E 1. 3.
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