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The benefits of the probabilistic approach are discussed, including (1) a more accurate representation of people movement and (2) the use of probabilistic data for modelling purposes, i.e., model validation and model development.
Model development (training and validation) and model deployment (making predictions) are two completely different tasks.
Several model performance matrices were analysed in the context of model validation and model selection [14].
Experimental data are quite necessary for mechanism validation and model development.
Englewood Cliffs, NJ: Prentice-Hall, 1987; and Model validation and model structure determination.
Tooling is provided through the Eclipse Modeling Framework (EMF) using its (meta-) model edition, constraint validation and model comparison features.
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Problems cast in this environment can pose new challenges for computational analyses in both model validation and model-based prediction.
The ability to calculate nodal flux, and from it visualize complex flow fields, is essential for model validation and model-based engineering of multiphase materials.
Using logic-based methods, it is possible to model interactions among large numbers of protein species and perform model training, model validation, and model-based prediction.
Optimal smoothing penalties are selected using cross-validation, and model uncertainty is quantified using a bootstrap re-sampling procedure.
MAFs were obtained from the 1000 Genomes EUR population for the cross-validation and model selection.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com