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The rationale is that results of this procedure enable the identification of the best model which is then used to build a classifier (using the whole Learning set) that is finally evaluated on the Validation set.
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This procedure enabled a detailed, molecule-by-molecule examination of the chemical reaction event.
This procedure enables the modeling of localized cracks, soft and stiff inclusions and cavities.
This procedure enables us to handle variable inlet velocities across the open boundary.
Furthermore, this procedure enabled the characterization of displaced white matter using the eigenvalue decomposition of DTI.
This procedure enables to adapt any on-site local rule of design and development.
This procedure enabled the selective separation and concentration of zinc from the mixture.
This procedure enables the covalent introduction of a fluorescent moiety into the phosphorylated peptide.
This procedure enables a reuse of terminology for documentation and decision-support.
This procedure enables to take into account the benefits of active measures on the fire safety.
This procedure enables the determination of element stiffness matrices representing analytical solutions of the governing differential equations.
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