Sentence examples for best subset of models from inspiring English sources

A best subset of models is usually created during an experiment.

According to Bonissone (2012), a multi-criteria decision making process is followed in order to (1) create the model by pre-selecting the initial building blocks for the assembly and compiling their meta-information, which is an off-line phase, and (2) perform dynamic model assembly, where the best subset of models for a given query is selected on-line, i.e. during runtime.

Unlike previous applications, which either used single models to predict species' distributions (20) or summed multiple models to incorporate model-to-model variation (19), we used a new procedure (Peterson et al., unpub. data) for choosing best subsets of models.

To choose best subsets of models, we eliminated all models that had nonzero omission error based on independent test points, calculated the average area predicted present in these zero-omission points, and identified models that were within 1% of the overall average.

We chose a "best subset" of these models on the basis of optimal error distributions for individual replicate models (34 ): median area predicted across all replicate modes was calculated, and the 20 models with predicted areas closest to the median were chosen for further consideration.

Multiple linear regression (MLR) analysis was employed to select the best subset of descriptors and to build linear models; while nonlinear models were developed by means of artificial neural network (ANN).

A stepwise procedure, based on the Akaike Information Criterium (AIC) is used to select the best subset of variables to be considered in each model.

The best subset of bedroom-specific predictors was obtained by fitting models using only bedroom floor and bedroom bed endotoxin levels.

QICC can be used to choose the best model and, therefore, the best subset of predictors.

Using a Multivariate Gaussian Mixture Model, we determine the best subset of features that assign the target genes to two groups.

The problem of selecting the best subset of hypotheses still remains and the proposed iterative model selection scheme can easily be adapted by substitution of the homography model for images with a rigid transformation model for the point clouds.