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For the simulated data set number one (face perception), we have found that all methods performed fairly well at the beginning (low noise levels), producing the performance sequence: MDA≈PCA>MGD>ANN (Figure 4B).
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As shown in Figure 2A, all of the methods perform fairly well for calling sites in the 100% NA12878 sample.
It has been shown in [6, 7] that, the GCC method performs fairly well in moderately noisy and lightly reverberant environments.
Experimental results show the proposed 3D model retrieval method performs fairly well in retrieving similar models from a database of 3D CAD models.
Comparison with experimental data shows that the method performs fairly well in simulating the flow over a range of surface-roughness densities extending up to transitional roughness.
This method performs fairly well for both the experimental and simulated data sets, yielding increased generalization performances for MDA and MGD methods described here.
Møller et al. [ 2] found that the method used in this study performed fairly well in comparison with other methods currently in use for predicting cancer incidence, and that all the methods evaluated missed the observed number of cases by 10 15% on average for 10 year predictions.
Select titles have performed fairly well this year.
The within-task classification and regression performed fairly well.
SL classification algorithm also performed fairly well in comparison to other algorithms.
The D3 model for one-year mortality performed fairly well in patients with early AKI.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com