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The models presented corresponded to the optimal models, i.e., optimizing EBIC and mBonf criteria.
Considering that the optimization minimize MSE and size, we defined as sub optimal models those solutions having MSE within a 10% of tolerance with respect to the MSE of optimal models (a conservative approximation to the real experimental error), and maximal size of 28 (the size of the optimal models; Section 3.1).
Too often approximate, less than optimal models result.
The optimal models of β are validated by comparing the estimated matric suction and measured data.
Optimal models were selected by minimization of the Euclidian distance between predicted and optimum release parameters.
The optimal models were then used for on-line quantitative monitoring of alcohol precipitation.
Moreover, both PLSR and SVR optimal models used the identical best variable indicators.
Non-human primates provide optimal models for the development of stem cell therapies.
Specifically, optimal design problems for the cycle criterion are established and compared with optimal models related to the asymptotic criterion.
Figure 11 Simulations of the optimal models.
Optimal models of human multiple-target visual search.. Proceedings of the 33rd Annual Conference of the Cognitive Science Society.
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