Sentence examples for model for auxiliary from inspiring English sources

Based on the method of separating epistemic and aleatory uncertainties in a variable, the core idea of the research is firstly to establish a novel deterministic transition model for auxiliary variables, distribution parameters, random variables, failure probability, then to propose the improved importance sampling (IS) to solve the transition model.

Didn't these two papers present the coMCRF model for incorporating auxiliary information into the MCRF model?

The objective of this study was to develop a classification model for the auxiliary diagnosis of IgAN using multiparameter analysis with various biological parameters.

It makes sense from a biological perspective, for example, to model auxiliary treatments in cancer such as radiation.

Furthermore, results specified that advanced SVM-WAVELET model can be applied confidently for auxiliary research to formulate predictive model for head loss at inlet and outlet section.

Subsequently, the diffusion forecast algorithm is applied to the retrieved time-series in order to construct the auxiliary model for the time evolving parameters.

The forward model takes auxiliary data for the atmospheric profile and background surface properties mentioned above, and it computes the BTs and their partial derivatives with respect to several atmospheric and surface variables.

Our approach compensates for model error by learning an auxiliary dynamical model for the unknown parameters.

The second extension would be to retain the univariate normal mixture model for birthweight distribution but create auxiliary models to relate covariates, such as gestational age, to mixture components.

An alternative future direction for correcting sample selection bias would be to develop models of population structure that can also model the auxiliary factors such as geography or language that may determine the selection process responsible for the biased sampling.

Within this frame, we have explored the effect of using auxiliary variables in the substitution model for missing data in explanatory variables of a linear regression model.