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In this section, we simplify the LP (11) and (17) by reducing the variable number in two ways without loss of the optimality of the policy.
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While it is possible to improve the first PC score further by reducing the variables (frequency bands), such approach raised some concerns within the framework of spectroscopy.
By reducing the required variables, we are hopeful the MLR model may be applied a larger population of patients, without excluding those with incomplete, unavailable, or pending pathologic data.
By implementing the whole orchestration in coupling TopoFlow components, we demonstrate that BMI helps connect web service models by reducing the heterogeneity of variable names, and EMELI-Web makes it convenient to couple BMI-enabled web service models.
Noise is removed by reducing the dimensionality of the variable space and using robust data pre-treatment methods which are more suitable in the presence of outliers and skewed distributions for process variables.
PLS obtains a linear regression by projecting the input and output variables to a new space and addressing collinearity by reducing the number of variables, removing those which are least important for prediction.
The finding of this study has potential application in designing a cost-effective river health monitoring program by reducing the number of variables to be monitored in a peri-urban situation.
The stabilization of planar stationary fronts solutions in a two-dimensional rectangular or cylinder domain, in which a diffusion convection reaction process occurs, is studied by reducing the original two-variable PDEs model to an approximate one-dimensional model that describes the behavior of the front line.
First they help our algorithm by reducing the number of variables that we need to include during the logic minimization stage.
Although it may be appropriate to increase precision by reducing the number of variables in a model, in doing so it is critical to avoid a posteriori decisions and statistical test driven approaches (Kleinbaum et al. 2008).
The model was refined by backward elimination, reducing the variables included to those with P < 0.05.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com