Exact(27)
In this paper, a comprehensive testing method that combines overloading and strength reduction in a model is proposed.
In general, until some fundamental violation of math in a model is detected or some error in the assumptions currently being fed into it is unearthed, the logical course is to refine rather than reject it.
Uncertainty associated to the estimated values of the parameters in a model is a key piece of information for decision makers and model users.
The first three of these can be determined and included in a model for prediction of the sulphur capture, but the problem of how to include the effect of reducing conditions in a model is still unresolved.
Physically verifying the switching mechanism in a model is trickier.
Truth in a model is then defined in terms of satisfaction.
Similar(33)
Now, truth-in-a-model is not the same as truth simpliciter.
Explaining logical consequence in terms of truth in models is rather close to explaining logical consequence in terms of truth, and the analysis of truth-in-a-model is sometimes taken to be an explication of truth in terms of correspondence, a typically Realist notion.
For each node in the taxonomy a model is trained in a top-down fashion.
In Europe, such a model is not yet developed.
A model is swamped in rippling mink.
Write better and faster with AI suggestions while staying true to your unique style.
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