Examples of using Model parameters in English and their translations into Japanese
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Management of risks against potential future events by applying a strong stimulus to data and model parameters, or forward-looking scenarios(i.e. black swan events) on risk management models. .
Model parameters: The parameter estimate, corresponding standard deviation, Wald's Chi2, the corresponding p-value and the confidence interval are displayed for the constant and each variable of the model. .
For MOE-type models, typically, the model parameters are determined by minimizing the sum of squared errors between the predictions of the model and the targets.
Model parameters are obtained using the restricted maximum likelihood(REML) method and will be different as when a classical ANOVA model is applied.
Validate and extract machine learning model parameters to update- MATLAB validatedUpdateInputs- MathWorks Generate C/C++ code for the predict
Each cluster contains a homogeneous group of persons(cases) who share common interests, values, characteristics, and/or behavior(i.e., share common model parameters).
Augment a Design Using Prior Data TheParameters outline in the middle bottom of the formula editor shows the current values of the model parameters.
It is written as a set of Tcl/Tk commands so that the model parameters can easily be changed on the fly by means of editing a script.
The general principle of the two-stage least squares approach is to use instrumental variables uncorrelated with the error term to estimate the model parameters. These instrumental variables are correlated to the endogenous variables but not with the error term of the model. .
We have estimated an econometric model for the World Cup result based on data from the five previous World Cup tournaments and used the model parameters to simulate the upcoming World Cup and the results are clear to us.
Other Model Parameter Table.
Model parameter future for both organic shapes and prismatic.
The Klobuchar model parameter, which transmits standard L1C/A positioning signals, is a way to achieve ionospheric correction for single-frequency receivers.
The above YE4 ultra-high efficiency energy-saving motor(first-class energy efficiency) 2 pole model parameter specifications.
It can also accurately determine the resist modeling parameters required by the lithography simulator.
Its additional onboard RAM allows for storage of very large datasets, e.g., model parameter sets required for advanced electric drives simulation.
In this case, models, parameters, test scripts, etc. already created for MiL and SiL use can be reused with the same user interface.
This paper proposes a technique to map the relations between locations of evaluators in the data set, preserving them in the model parameter space as much as possible.
Reset Model Parameters¶.
Determine the best model parameters to fit measured data.