Sentence examples for model selection algorithm from inspiring English sources

The OLS model was selected using a forward-backward model selection algorithm.

CAPTURE uses a discriminant function model selection algorithm to provide an objective criterion for selecting the best approximating model.

In this paper, a fast and robust model selection algorithm for M-SVR is proposed.

In this work we present some preliminary results about the identification of radial basis function (RBF) neural network (NN) ELD predictive models and about the performance of a model selection algorithm.

Furthermore, we impose penalty on parameters to tackle the singularity problem and design an efficient model selection algorithm to choose the optimal tuning parameter which balances the tradeoff between the global and local structures.

Akaike information criterion (AIC) was used as the criterion to compare model-fitting results in the model selection algorithm.

A comparison of the proposed CS-ELM with other model selection algorithms of ELM is evaluated on several real benchmark regression applications.

In a practical system, the proposed distributed power control scheme, the adaptive SINR target setting and the model selection algorithms should be executed in the following order.

An optimal model was estimated using backward and forward model selection algorithms that have been previously described [ 28].

It is well known that OLS estimates of marker effects and model selection algorithms suffer from inability to explain sufficient proportions of genetic variance for complex traits.

We are not primarily interested in comparing different model selection algorithms, which has been done in previous publications (e.g. Mundry and Nunn 2009).