Sentence examples for model selection methodology from inspiring English sources

We describe a model selection methodology for partial differential equation (PDE) based models and show the results of applying it to a test problem.

This paper proposes a model selection methodology for feedforward network models based on the genetic algorithms and makes a number of distinct but inter-related contributions to the model selection literature for the feedforward networks.

First, in model selection methodology, there is no null hypothesis.

We have developed a novel model selection methodology based on ABC and SMC.

One great advantage of model selection methodology is how the complexity of competing hypotheses is handled.

Model selection methodology solves all the problems with null hypothesis significance test P-values enumerated above.

The influential paper by Clauset et al. [1] developed a model selection based methodology to determine whether empirical data is likely to be power-law distributed.

Model selection followed the methodology proposed by Zuur et al. [49].

Also, Momma and Bennett (2002) developed a fully automated pattern search (PS) methodology for model selection of SVR.

In fact the model dependent rate of convergence of the EM algorithm may potentially provide practical novel methodologies for model selection.

HC, MCI, and AD subjects were accurately classified through models generated via a feature selection methodology that searched a large multimodal database.