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Multivariate adaptive regression splines

Known as: Mars (disambiguation), Spline 
In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non… 
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Related topics

Related topics

21 relations
Artificial neural networkBasis functionBrute-force searchCross-validation (statistics)

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
FOREX Rate Prediction: A Hybrid Approach Using Chaos Theory and Multivariate Adaptive Regression Splines
In order to predict foreign exchange (FOREX) rates, this paper proposes a new hybrid forecasting approach viz., Chaos+MARS… 
2016
2016
Array interpolation based on multivariate adaptive regression splines
Many important signal processing techniques such as Spatial Smoothing, Forward Backward Averaging and Root-MUSIC, rely on antenna… 
2015
2015
Quality Assessment of Web Services Using Multivariate Adaptive Regression Splines
The need to chose a suitable web service in the present scenario, due to the high growth in number of web services that provide… 
Review
2014
Review
2014
Overview on Multivariate Adaptive Regression Splines
This chapter provides an overview of multivariate adaptive regression splines (MARS). Its main purpose is to introduce the reader… 
2011
2011
A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy
This paper proposes a hybrid approach to the forecasting of firms’ bankruptcy of Spanish enterprises from the construction sector… 
2011
2011
Predicting breast cancer survivability using random forest and multivariate adaptive regression splines
In this paper, we propose a hybrid of random forest and multivariate adaptive regression splines algorithms for building a breast… 
2003
2003
Using multivariate adaptive regression splines (MARS) in pavement roughness prediction
The paper presents the application of a new statistical technique, multivariate adaptive regression splines (MARS), to a flexible… 
2000
2000
Rough Set-Based Dimensionality Reduction for Multivariate Adaptive Regression Splines
Dimensionality is an obstacle for many potentially powerful machine learning techniques. Widely approved and otherwise elegant… 
1997
1997
Modeling segmental duration with multivariate adaptive regression splines
The application of “Multivariate Adaptive Regression Splines” (MARS) to the problem of modeling duration of a set of segments… 
Highly Cited
1991
Highly Cited
1991
G/SPLINES: A Hybrid of Friedman's Multivariate Adaptive Regression Splines (MARS) Algorithm with Holland's Genetic Algorithm
G/SPLINES are a hybrid of Friedman's Multivariable Adaptive Regression Splines (MARS) algorithm with Holland's Genetic Algorithm… 
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