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Compared to FNAB, CNB has a higher accuracy for diagnosis.
In addition, JCMA demands a higher accuracy in power control.
Therefore, the proposed method can give a higher accuracy.
Therefore, a smaller RMSD means a higher accuracy.
Combined with kinetic properties, one could expect a higher accuracy.
However, a higher accuracy needs to be achieved.
As a result, a higher accuracy CCII+ is presented.
Through experimental verification, the analytical results have a higher accuracy.
This data can be either self-declared or observed and therefore has a higher accuracy rate than government data.
However, the analytical formulas present a higher accuracy for either n ≤ 4 or n ≥ 5.
All of three boosting member algorithms can obtain a higher accuracy than weak classifier.
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