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We describe a hands-on explanation for the use of this iterative denoising approach and the validity and quality of the image enhancement filter was evaluated in a benchmarking experiment with noise footprints of a varying level of correlation and residual artefacts.
In a recent study, we performed a benchmarking experiment to assess discrimination capability of a variety of classification algorithms on prediction of embryonic sex using CM spectra (submitted).
The code block above shows a Matlab script that sets up a benchmarking experiment to assess the performance and error of the DFSP solver when simulating the model for Min-oscillations described in the first example in this paper.
Figure 4 shows the results of the benchmarking experiment.
This is a reasonable assumption for a benchmarking experiment because sporadic genotyping errors are unlikely to have a noticeable effect on a program's computational burden.
For the benchmarking experiment, we further filtered distal p300 peaks in T cell to include only those that overlap with at least one computationally predicted enhancer in the PReMod database [ 41].
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Finally, we perform benchmarking experiments with Mosco, the results of which indicate small overhead and high scalability.
Benchmarking experiments on 16 popular UCI datasets revealed that our algorithms could empirically generate accurate and significantly more compact decision lists.
After benchmarking experiments [39], it was found that the PRW learner outperformed the Naïve Bayes algorithm overall, achieving a recall and precision of 66.6 and 63.3 %, respectively.
Finally, larger scale benchmarking experiments will be conducted, testing the SDR in large networking configurations, such as the one available in the FP7 project CREW [26].
Basically, virtual screening techniques are usually validated by screening (a) validation set(s) in benchmarking experiments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com