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The most appropriate models were identified using a data mining approach.
This robust closed-loop controller was evaluated in comparison with a heuristically tuned proportional-derivative-integral (PID) controller using a simulated surgical procedure on 44 patients whose PK and PD models were identified using real clinical data.
Parsimonious models were identified using the stepwise selection method within "proc reg" procedures.
The models were identified using a 2-level nested cross validation method.
Seeds for the generation of the models were identified using the Autoseed algorithm (see 'Material and methods' and Figure 1 figure supplements 1 14 for details).
Cost components in the models were identified using the SEDMSA guidelines for the comparator and DMP Minimum Care Guideliness' for the capitation intervention.
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The best input of SVM and ANN models was identified using combination of Gamma Test and Genetic Algorithm (GT GA).
Linear black box models are identified using frequency domain identification techniques, while robust linear control design techniques (H∞ and μ-synthesis) account for the model uncertainties introduced by the linear model approximation of the nonlinear dynamics.
In general, vehicle models are identified using texture descriptors.
The same 31 models are identified using flux-based methods.
Location in gene models was identified using the SGN genome browser (ITAG2.3 genomic annotation).
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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