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Exact(45)
Both methods have similar efficiency.
For instance, the classifier-independent univariate filter methods have similar trends.
While the three methods have similar capabilities in identifying significant disturbances and faults, BPNN is better than PCT and FSC in isolating small disturbances.
The proposed methods have similar performance to the optimal (exhaustive) case for all R values.
Although all methods have similar asymptotic behavior for performance indicators, their trajectories are quite different.
K-SVD and PCA patch-based methods have similar results, Fig. 19 f, j, k, l shows these results.
Similar(15)
The two methods had similar operation-time and blood loss.
The methods had similar statistical power to detect significant treatment effects.
Other classification methods had similar performance, and the worst classifier was the logistic regression.
This showed that the two methods had similar success rates in the initial amplification step.
The Bayes B and gBLUP methods had similar accuracies under the infinitesimal model.
More suggestions(15)
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