ARESLab: adaptive regression splines toolbox for Matlab. ARESLab is a Matlab/Octave toolbox for building piecewise-linear and piecewise-cubic regression models using Jerome Friedman’s Multivariate Adaptive Regression Splines technique (also known as MARS). Multivariate Adaptive Regression Splines have the ability to model complex and high-dimensional data dependencies. The model takes the form of an expansion in product spline basis functions, where the number of basis functions as well as the parameters associated with each one (product degree and knot locations) are automatically determined by the data through a forward/backward iterative approach. The toolbox code is licensed under the GNU GPL licence.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Kartal Koc, Elcin; Bozdogan, Hamparsum: Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function (2015)
- Koc, Elcin Kartal; Iyigun, Cem: Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach (2014)
- Koc, Elcin Kartal; Iyigun, Cem; Batmaz, İnci; Weber, Gerhard-Wilhelm: Efficient adaptive regression spline algorithms based on mapping approach with a case study on finance (2014)
- Müller, Juliane; Shoemaker, Christine A.: Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems (2014)