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Additional robustness to modeling uncertainty comes from combining the robust predictions of each model class in a set of candidates weighted by the prior or posterior probability of the model class, the latter being computed from Bayes' Theorem.
Even cars, within a given model class, are more difficult than ever to tell apart.
Figure 4 illustrates the Model class.
However, these models belong to the "black box" model class.
Four classes of shear building models were studied and the MCMC-based Bayesian model class selection was developed to identify the most plausible model class.
The RSM model class seems to provide the best results for the whole flow regime.
We extend the scope of this model class by proposing a method for incorporating response times.
An alternative model class, not characterized by this assumption, is the accelerated hazard (AH) model.
Fuzzy pattern trees (FPTs) have recently been introduced as a novel model class for machine learning.
The perceptual-independence assumption forms what we term the modal model class.
The proposed method first determines the number of delaminations using Bayesian model class selection method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com