Sentence examples for regression algorithms from inspiring English sources

(ii) Boost prediction accuracy via applying various regression algorithms.

More specifically, machine learning regression algorithms are trained considering proprioceptive sensing.

We use two different regression algorithms to complement each other for the acoustic model.

Nonlinear regression algorithms have been extensively applied in the parametric analyses of electrochemical impedance spectroscopy (EIS).

Adding significant predictors (i.e., soil structure), and implementing more flexible regression algorithms are among the main strategies of PTFs improvement.

To identify the best algorithm for prediction model computation with the existing data, we evaluate a set of regression algorithms.

We propose weighted histograms regression to predict the yield of different varieties and compare our method to conventional regression algorithms.

It was found that scale dependence of the models is a function of the study area characteristics and regression algorithms.

We exploit this structure to improve principal component regression algorithms that empirically infer a low-dimension basis for ordered SNR.

This article introduces a simulation model of rat behavior in the elevated plus-maze, designed through a Decision trees approach using Classification and Regression algorithms.

In this direction, we present a detailed study on the use of Weka, evaluating different regression algorithms for predicting the compressive strength of concrete.