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Benchmarking using a suite of one- to four-dimensional problems shows that while kriging is the most accurate option for a small number of training points, RMTS is the best alternative when a large set of data points is available or a low prediction time is desired.
In a recent paper, I study the dynamics of compensation benchmarking using a comprehensive, hand-collected dataset of explicit peer group relationships disclosed in mandatory filings to the U.S. Securities and Exchange Commission by publicly traded companies.
The benchmarking using a test dataset comprising of both known T2D genes and non-T2D genes revealed that Wv method had a sensitivity and specificity of 0.74 and 0.96 respectively with 9 fold enrichment.
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The DFT and DFC techniques are integrated and benchmarked using a 60-GHz ADPLL-based transmitter in 65-nm CMOS.
The algorithm has been benchmarked using a database of 2000 images.
The Environmental Protection Agency EPAA) published a requirement for all cars to be benchmarked using a standard methodology.
The methods were benchmarked using a modified version of the dataset used in SCAMPI (Bernsel et al., 2008).
The accuracy of the resulting ensemble was benchmarked using a large variety of NMR observables, including eight sets of RDCs.
Our software implementation, triPOD, was benchmarked using a simulated dataset, outperformed comparable software for sensitivity of abnormality detection, and displayed substantial improvement in the detection of low-level mosaicism while maintaining comparable specificity.
We first test our methodology with a numerical benchmark using a synthetic model.
Experts set benchmarks using a "body-mass index" that involves height and weight in a continuum from simply overweight to obese.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com