Variable selection using support vector regression and random forests: A comparative study

Incremental partial least squares analysis of big streaming data

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A robust regression approach for spectrophotometric signal analysis

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Feature selection using Bayesian and multiclass Support Vector Machines approaches: Application to bank risk prediction

(2011) Asma Feki et al.   EXPERT SYSTEMS WITH APPLICATIONS

A support vector regression based prediction model of affective responses for product form design

(2010) Chih-Chieh Yang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Variable selection in regression-a tutorial

(2010) C. M. Andersen et al.   JOURNAL OF CHEMOMETRICS

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS