Sentence examples for model selection as from inspiring English sources

Several simulation experiments are performed to compare its effectiveness in automated model selection as well as its efficiency in parameter learning with other existing learning algorithms.

The large-sample distributions are derived both for the case where the adaptive LASSO estimator is tuned to perform conservative model selection as well as for the case where the tuning results in consistent model selection.

In order to ensure minimal bias in evaluating our results an exhaustive validation procedure was followed, both for model selection as well as for final model assessment.

For combined analyses, model selection as well as the settings is similar with that of the single-marker analysis, however there were a total of three million running generations.

However, in the presented methodology the AIC could be replaced by any other metric for model selection as long as it can establish a ranking for the set of competing models encompassing model performance and model complexity.

Statistical analyses were carried out separately for each experiment by using general linear models (lm function, r software, version 2.14.0; R Development Core Team 2011), using the same principle of model selection as before.

A full probabilistic framework is proposed in this research to resolve the model selection issue as well as to calibrate the geotechnical resistance factors.

The ICA showed that the model order selection, as well as component selection can both significantly affect the results.

Our simulations have also shown that protein model selection is not as sensitive as nucleotide model selection to sequence length differences.

The process of inferring gene networks based on the VAR model is to choose non-zero coefficients in the coefficient matrix, which can be considered as a problem of statistical model selection, especially as a variable selection problem [ 8].

We refer to our general Bayesian model as "BayesDiallel" and to its associated model selection procedure as "BayesSpike".