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In this manner, the clinical variables were fixed component of the model and the probes associated with the survival variables were selected using a combination of forward and stepwise model selection methods.
After the assumptions were investigated, several IRT models were applied to the three tests and the model selection methods explained in Section Model selection methods were used to select the model with the best fit.
All model selection methods employed, jModelTest 233, Topali v2.534 and MEGA635 detected the same model of sequence evolution that fit best the data sets.
Some comments are made on the performance of optimal designs of variable resolution in using certain model selection methods.
Most existing applications of Bayesian model selection methods to chemical kinetics have been limited to comparisons among a small set of models, however.
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluation.
In the nonlinear case, this destroys the linear regression structure of the problem even if the control filter is linear-in-the-parameters, thereby making it impossible to apply the many existing model selection methods for linear regression problems.
Two state-of-the-art model selection methods that have received considerable attention in recent years, Least Angle Regression and the Dantzig Selector, were likewise supplemented with the global randomization test.
However, M-SVR is sensitive to the perturbation of hyper-parameters when facing small-scale sample problems, and most of currently used model selection methods for conventional SVR cannot be applied to M-SVR directly due to its special structure.
The primary difficulty of support vector machine (SVM) model selection is heavy computational cost, thus it is difficult for current model selection methods to be applied in face recognition.
We suggest employing two commonly used model selection methods, namely MDL and CV, for making such choices.
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model selection procedures
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model selection techniques
model validation methods
model reduction methods
model evaluation methods
model selection results
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model development methods
model construction methods
model identification methods
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model assessment methods
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