Sentence examples for multivariate adaptive regression from inspiring English sources

Response surfaces of these results are constructed via a Multivariate Adaptive Regression Splines (MARS) technique.

In this work, we integrate multivariate adaptive regression splines (MARS) method with local reweighting methods.

The best results in terms of successful predictions are achieved by MARS (Multivariate Adaptive Regression Splines).

These models are quadratic and cubic polynomials, Gaussian process (kriging) and multivariate adaptive regression splines (MARS).

The models used were deterministic regression analysis, multivariate adaptive regression splines (MARS) and artificial neural networks (ANN).

In this paper, we have proposed the use of Multivariate Adaptive Regression Splines (MARS) and Boosting Multivariate Adaptive Regression Splines (B-MARS) algorithms to effectively estimate vehicular NO X emissions.

We used multivariate adaptive regression splines to quantify bird habitat relationships for fresh, intermediate, and combined marsh habitats.

In this work, we propose a methodology for the metamodeling of dynamic simulation models via Multivariate Adaptive Regression Splines (MARS).

Multivariate adaptive regression spline (MARS) together with Monte-Carlo (MC) sampling was proposed as a reliable descriptor subset selection strategy.

This study aims at establishing machine learning models for chloride diffusion prediction with the utilizations of the Multi-Gene Genetic Programming (MGGP) and Multivariate Adaptive Regression Splines (MARS).

In the present study, local and external performances of multivariate adaptive regression splines (MARS) and gene expression programming (GEP) were assessed for estimating daily ETo.