Examples of using Model selection in English and their translations into Russian
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The model selection should depend on the comprehensive factors such as materials viscosity,
The second part of the chapter will present model selection techniques, which will be particularly useful in identifying the best-fitting model and in discriminating among competing models. .
for automated data cleansing, feature engineering, model selection, and hyperparameter optimization RECIPE is a framework based on grammar-based genetic programming that builds customized scikit-learn classification pipelines.
approximate Bayesian computation can be used for model selection in a Bayesian framework,
such as the index of a model class(model selection) or parameter values(parameter estimation); the second part is an encoding of the data given the information in the first part.
Phone models selection in alphabetic order.
methods for estimating parameters and models selection criteria.
We perform a full cycle of works: the creation of concepts and storyboards, the models selection, the image-building, the search for props,
utility models, selection achievements and applying for the patent in his own name
statistical modelling, selection of samples, extrapolation of sampling results,
including a methodology for laboratories accreditation and models selection, as a concrete guidance to EU and National Authorities for effective market surveillance;
See“model selection” tableTemperature Coefficient.
See“model selection” table Output Power.
See“model selection” table Output Polarity.
See“model selection” table Output Current.
See“model selection” table Voltage Regulation.
Power industry in russia- challenges of development model selection[text]: analyt.
It essentially reduces to an unnecessarily complex method for doing model selection.
Bayesian model comparison is a method of model selection based on Bayes factors.