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"arbitrarily combined" is correct and usable in written English.
You can use it to describe when two or more things have been combined without any particular method or plan. For example, "The artist created a unique painting by arbitrarily combining different colors and shapes."
Exact(2)
Moreover, they may be arbitrarily combined using Fourier-like synthesis using techniques for arbitrary waveform generation well established in digital signal processing.
To aid in doing a sensitivity analysis by risk of bias, we arbitrarily combined the risk of bias assessments into a composite score.
Similar(56)
Rather than invest in expensive "vaccines" that will probably end up infecting you anyway, the best way to ready ourselves is with semi-ironic T-shirts that arbitrarily combine two things from pop culture.
Furthermore, it is possible to arbitrarily combine the components that belong to the low-, middle- or high-frequency regions.
The classification of the 16 symbol transitions into the four subclasses is a favorable illustration, because transmit symbol sequences can be modeled by arbitrarily combining the states A to D, while symbol transitions within the subclasses have identical properties for sequence reconstruction.
These parameters are combined arbitrarily.
For the calibration, the lognormal reliability format is adopted because the hereby-derived partial safety factors can be combined arbitrarily.
Probability is treated as a sentential operator in the language, so it can be arbitrarily nested and combined with other logical operators.
We arbitrarily allowed for combined reporting for genotype 1 and 4 if the proportion of genotype 4 patients did not exceed 10%.
Risk matrices can provide an impression of higher accuracy and/or confidence if compared with qualitative assessments, which can be particularly wrong when scores are assigned and combined arbitrarily, and with no transparency [ 41].
The idea of aggregating many simple classifiers to yield a better classifier is a widely used strategy in machine learning that capitalizes on the idea that using a set of classifiers that produce barely better results than random guessing can achieve arbitrarily high accuracy when combined appropriately.
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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