Restructuring forward step of MARS algorithm using a new knot selection procedure based on a mapping approach

DOI10.1007/s10898-013-0107-5zbMath1299.65015OpenAlexW2077067133MaRDI QIDQ740642

Elcin Kartal Koc, Cem Iyigun

Publication date: 4 September 2014

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-013-0107-5

zbMATH Keywords

mappingcomputational efficiencydata miningself-organizing mapsmultivariate adaptive regression splines (MARS)high dimensional data reduction

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

High-dimensional black-box optimization under uncertainty ⋮ Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function ⋮ Estimating production functions through additive models based on regression splines ⋮ Dynamic simulation metamodeling using Mars: a case of radar simulation ⋮ Efficient adaptive regression spline algorithms based on mapping approach with a case study on finance ⋮ Estimation in the partially nonlinear model by continuous optimization

Uses Software

• UCI-ml
• car
• SOM
• CMARS
• ElemStatLearn
• ARESLab

Cites Work

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