Exact(1)
On the other hand, using the differentially expressed protein and transcript matches did not significantly improve the classifications obtained with the consensus gene expression set alone (data not shown).
Similar(59)
This algorithm can improve the classification efficiently.
This again can improve the classification speed.
Again, AFs found by EDS improve the classification performance.
They show that feature selection methods improve the classification accuracy.
So the LSROPC can help improve the classification accuracy effectively.
The inclusion of texture information in the classification did not improve the classification quality.
These reduced dimensionality data improve the classification performance and reduce the classification time.
Synonym merging can reduce the dimension of the feature space and improve the classification performance.
Choosing the most relevant features to improve the classification accuracy is a challenging problem [6].
Such variants also improve the classification performance of the basic LBP approach [17, 18].
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