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We also compare both methods with the direct application of a matched filter (MF) on the polarization data.
Comparing the results of both methods with the available ones in the literature shows the accuracy of the proposed methods.
In addition, we performed the paired t-test on the perplexity results of both methods with the significance level of 0.01.
Since it is also advised to choose a k ≤ n 2, we used robust PCA with k=50 to compare both methods with the first 50 principal components.
Heat treatment was ranked first by both methods with the confidence level exceeding 95%, indicating the null assumption that it is not probabilistic optimal (versus the alternate assumption that it is) is rejected.
All nucleotide and amino acid polymorphisms found at frequencies ≥5% in pyrosequencing were detected using both methods with the rates of variation highly correlated.
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As shown in Table 2, the differences in accuracy between both methods, with respect to the highest correlation obtained for an individual trait, were negligible.
We tested both methods with respect to the number and accuracy of prior known interactions (PKIs), and the effect of the weight of the PKIs.
Comparing both methods with qRT-PCR data, the TSE1 approach clearly matches better than the TSE2 approach.
Figure 9 shows the evolved results of both methods with different initial contours for the DSA_2 image.
Subsequently, the system tends towards a steady state, and the reaction rate is correctly predicted by both methods with 99% accuracy when using the correction term.
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