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To tighten these bounds, we additionally computed profits using the most promising ((lambda |hat{z}_{rt})) representation in a genetic algorithm on a computing cluster with a time limit of 30 min per instance.
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High CPU (per instance hour consumed) €0.17 for medium instances €0.68 for x-large instances.
Standard (per instance hour consumed) €0.085 for small instances €0.34 for large instances €0.68 for x-large instances.
The cancer was detected at (A) 10-min-per-view, but not at (B) 5 min-per-view or (C) 5 min-per-view with WBR.
Our approach achieved the highest precision in both per-relation and per-instance evaluations.
The per-relation precision is around 95-96% and the per-instance precision is around 94-97%.
This is an average of 0.05 milliseconds per instance analyzed.
The overall best results per instance have been marked bold.
Finally, we assumed three hours as maximum runtime per instance.
We consider the first 10 runs of MOTGA for each instance (there are 20 MOTGA runs per instance in total).
There were 443,411 unique ordering instances, leading to an average of 1.99 add-on tests per instance.
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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