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The Flexibility Design Problem (FDP) models the decision on the optimal configuration of a flexible (manufacturing) network.
In our mouse models, the decision between life and death depended on insulator strength.
In this class of models, the decision bound establishes a policy on the amount of evidence needed for decision commitment and thus determines the tradeoff between speed and accuracy.
For all regression models, the decision to use a negative binomial model instead of a Poisson regression model was based on evaluating the Akaike Information Criterion (AIC) value of both models and the significance of the over-dispersion term of the negative binomial model.
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In the second model, the decision to migrate (or not) is modelled simultaneously with the type of place of destination (Compton and Pollak 2007, page 485).
Step 3 – Modelling the decision, initiation and completion stages for each activity.
However, there are few theoretical publications modelling the decision making processes related to personalized medicine.
Our proposal consists in a fuzzy system, modeling the decision process through simple rules.
We model the decision to immigrate in detail from a mechanistic underpinning.
Based on the statistical model, the decision rule for VAD is derived by incorporating the LRT on it.
This indicates that the linear SVM is not able to model the decision boundary well and is prone to underfitting.
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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