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The parameters of the proposed IG algorithms are tuned through a design of experiments on randomly generated benchmark instances.
The parameters of the proposed iterated greedy algorithms are tuned through a design of experiments on randomly generated benchmark instances.
The generated benchmark data were utilized to systematically train a three-layered ANN framework that processes the feed-forward error back propagation methodology.
With $3 billion raised and $13 billion in value generated, Benchmark has backed more than 250 companies since its inception in 1995.
In order to test whether NetGenerator is capable of inferring different cross-talk structures, we generated benchmark systems LCT and NCT.
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This article introduces a new method for generating benchmark circuits.
Amongst these methods, only a few are used to generate "benchmark" results in the atmospheric science community.
It is shown that the results are in excellent agreement and that BEM++ is a fast alternative to the T-matrix method and others for generating benchmark results.
This is a centralized design and may not be practical, but can be used to generate benchmark results.
They have provided an extension of their algorithm to generate benchmark networks with an extra submodular level and made it available here: http://sites.google.com/site/santofortunato/inthepress2.com/site/santofortunato/inthepress2
We considered using the type of phone use totals collected by RMSSS [ 18] to generate benchmark populations by age group, sex, stratum and type of phone use.
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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