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Distributed model architectures are widely used for automatabased fault diagnosis to ensure model completeness and to avoid the state space explosion problem.
We point out the tradeoff between model completeness and real-time constraints, and the fact that the choice of a risk assessment method is influenced by the selected motion model.
One specific application of NetKO is the simple validation of model completeness and accuracy on the genome-scale.
The quality of such reverse-engineered GRN models is determined mainly by two factors: The quality of a GRN model depends on two factors: the model's explanatory power (or model completeness) and the model's predictive power (or model correctness).
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The connection between model-completeness and elimination of quantifiers is as follows.
Model completeness, model correctness, and model extraction performance have been evaluated together due to their interdependence (e.g., extracting a complete model will require more time than an incomplete model).
However, the overall results of this approach await experimental validation since the current prediction relies on several assumptions concerning model completeness, constraints used during simulation and the statistical cut-off values chosen for comparative analysis.
However, it should be noted that gene essentiality results are condition-specific and sensitive to the model completeness.
Futhermore, little is known about factors potentially modifying associations with clinical tests and therefore evaluation of model completeness was not possible.
A pragmatic definition of model completeness is given, based on situated interpretation of meaning and theory of communication.
Model completeness was assessed by comparing the number of model elements and input elements, while for correctness the properties of the model elements and input elements were compared.
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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