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In this paper, the design of an output predictor in a system with random scarce sampling is addressed.
Duy et al. [21] proposed a neural network predictor in a Green scheduling algorithm to predict future resource requirements based on historical data.
We could then, in an effort to explain students' mathematics achievement, introduce the rescaled variable as a predictor in a generalized linear mixed model (GLMM).
As do JR, we address two cases: Cognitive data used as a criterion in a regression or used as a predictor in a regression.
The fuzzy-neural variant of Takagi-Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller.
In partial agreement with our hypothesis (3), the TOP stock was included as a positive and the clay content as a negative predictor in a multiple regression model of the foliar P content, suggesting decreasing bioavailability of TOP with increasing clay content.
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Polling is one predictor in an election – and any definitive argument based on polls alone is inconclusive based on the evidence available.
To produce multiple versions of a predictor in an ensemble, bagging creates a training data set to train each predictor.
This was important as the factor scores were later used as predictors in a regression analysis.
Inclusion of these predictors in a prognostic model for recidivism considerably improved discriminative capacity.
They allow describing the importance of multicollinearity (correlation between predictors) in a regression analysis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com