SVM-RFE: selection and visualization of the most relevant features through non-linear kernels

Feature selection for support vector machines using Generalized Benders Decomposition

(2015) Haldun Aytug   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Kernel-PCA data integration with enhanced interpretability

(2014) Ferran Reverter et al.   BMC Systems Biology

Opening the kernel of kernel partial least squares and support vector machines

(2011) G.J. Postma et al.   ANALYTICA CHIMICA ACTA

Feature selection for support vector machines with RBF kernel

(2011) Quanzhong Liu et al.   ARTIFICIAL INTELLIGENCE REVIEW

Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data

(2011) Natalia Becker et al.   BMC BIOINFORMATICS

Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection

(2011) Felipe Alonso-Atienza et al.   EXPERT SYSTEMS WITH APPLICATIONS

Visualization and Recovery of the (Bio)chemical Interesting Variables in Data Analysis with Support Vector Machine Classification

(2010) Patrick W. T. Krooshof et al.   ANALYTICAL CHEMISTRY

penalizedSVM: a R-package for feature selection SVM classification

(2009) Natalia Becker et al.   BIOINFORMATICS

A wrapper method for feature selection using Support Vector Machines

(2009) Sebastián Maldonado et al.   INFORMATION SCIENCES