Examples of using Model selection in English and their translations into Ukrainian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
Printer Model Selection.
Model selection and pattern.
Automatic model selection.
Model Selection List-Deblister.
There's also the model selection.
Model Selection List-Decapsulator.
Sink for kitchen: varieties, model selection and installation options.
R package Several ABC algorithms for performing parameter estimation and model selection.
Variable and model selection and the study of(ultra-)high dimensional data.
Additional sources of bias- for example, in the context of model selection- may be more subtle.
Model selection of a surface pump depends on the depth of the water table in the well.
The second step is the creation of caps model selection, as well as the respective yarn and spoke to her.
Indeed, none of the methods above assesses the choice of summaries for the purpose of model selection.
In its most basic forms, model selection is one of the fundamental tasks of scientific inquiry.
For this reason,it is useful to combine different methods for model selection to obtain correct conclusions.
Comparison of model selection criteria in the approximation tasks with natural basis/ Revunova О. G.
It has been shown that the combination of insufficient summary statistics andABC for model selection can be problematic.
Machine model selection: we can choose different models according to the customers' products.
ABC can be used to infer problems in high-dimensional parameter spaces, although one should account for the possibility of overfitting(e.g.,see the model selection methods in[39]-[40]).
Exercise on the model: selection and creation of an individual mix for eyebrow dyeing. Price 1000 grn.
An alternative framework for statistical hypothesis testing is to specify a set of statistical models, one for each candidate hypothesis,and then use model selection techniques to choose the most appropriate model. .
However, this issue is only relevant for model selection when the dimension of the data has been reduced.
Model selection techniques can be considered as estimators of some physical quantity, such as the probability of the model producing the given data.
Both methods make use of two-part codes: the first part always represents the information that one is trying to learn,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.
For proper model selection, voltage regulation is necessary to determine the amount of power(W) all customers who need both in the supply of electricity.
A comparative analysis of linear model selection criteria applied to the problem of assessing the radionuclide content in environmental objects is performed.
Using the external criteria for model selection based on partition of a data sample in two ore more subsamples(that decreases requirements to the a priori information volume);
The hardest part is probably the Printer Model Selection. In former years the situation was difficult, because there were hardly any drivers to find. The difficulty now is there are too many; though some of them are very good, many are quite broken.
Package of software tools[4] for designing, researching and applying modeling methods, conducting experiments on testing modeling methods and their components(model classes, generators of model structures,methods for estimating parameters and models selection criteria).