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The different time-series prediction techniques use different risk minimization principles to create the prediction model.
Several minimization principles are proved in Büber-Kirk [30] that do not require the full Axiom of Choice.
Four sub-hypotheses are introduced in order to experiment the risk minimization principles vis-à-vis the different workload patterns.
We establish some perturbed minimization principles, and we develop a theory of subdifferential calculus, for functions defined on Riemannian manifolds.
Green chemistry refers to the application of minimization principles to eliminate negative environmental impacts of chemicals and chemical processes.
This has led the designers to consider inherent safety and waste minimization principles at the early stages of design.
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The second unique characteristic of SVM is that it is established on the unique theory of the structural risk minimization principle to estimate a function by minimizing an upper bound of the generalization error and therefore very resistant to the overfitting problem, eventually achieving a high generalization performance.
This is likely due to the existence of structural risk minimization principle of SVM which is embodied in SVM algorithm and effectively minimizes upper bound of the generalization error, rather than minimizing the training error.
(Minimization principle).
This scheme is based on a minimization principle.
The governing equation is obtained using an energy minimization principle.
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