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The adapting process can be disabled as soon as the achieved training is deemed sufficient.
In our implementation, we set that the adapting process is automatically disabled as soon as the probabilities are stable.
It should be noted that the system is to continue the adapting process in an unsupervised manner, thus achieving even better performance.
As soon as the online adapting process is enough as we prefer (i.e., the skin color probability converges to a proper value), we manually stop the adapting process.
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Choosing the adapted process involves designing an adaptive control force algorithm in a stochastic environment that targets to drive the response to first passage failure based on information up to the present.
Finally, the adapted process instance is redeployed and restarted by the Process Engine.
In this work the adapted process is designed using concepts of deterministic optimal control.
Another issue that the process group considered as a differential was the facility that the project manager had to initiative the project planning concerning subprocesses definition that compose the adapted process to the project.
Firstly, we define the class ξ of linear estimators of the form, dcheck{x}(t)=Acheck{x}(t),dt+K (t) bigl( dy(t) - Ccheck{x}(t),dt bigr), quadcheck {x}(0)=hat{x}_{0}, (10) where y is the adapted process defined in Equation (5) (see [28, 30, 32] for a discussion of adapted quantum processes).
This successful international collaboration has resulted in the adapted process proposed here being used as a guide for similar studies.
Additionally, the IM Adapt process guides planners to incorporate both effectiveness and process evaluation.
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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