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The final prediction is calculated by combining linear models at each node of the trees; therefore, it is smoothed compared to a single linear model.
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In such cases, the combined linear model is referred to as the age-drift model [ 22].
It is a hybrid approach that combines linear model and pattern recognition.
Polarisation is fully measured via Stokes' parameters obtained by combined linear and circular polarisation measurements.
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models.
Combining linear and non-linear models improved the accuracy of multi-line genomic prediction.
Any variables identified by univariate analysis were then included in a combined linear regression model, and any significant covariates were taken forward to the final model including pain grouping.
More recently, several parallel hybrid forecasting models have been proposed to combine linear and nonlinear models.
Several approaches have been proposed to combine linear and nonlinear models.
To maintain the spectral consistency, we further introduce an adaptive regularization terms into the sparse representation framework by combining the linear spectrum mixing model.
Other models tested (one- or three-compartmental models) with non-linear or combined (linear and non-linear) elimination were more complex and did not lead to improved results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com