Feature subset selection for kernel SVM classification via mixed-integer optimization

28 May 2022

Papers citing "Feature subset selection for kernel SVM classification via mixed-integer optimization"

9 / 9 papers shown

Title
How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms Jacques Wainer Pablo Fonseca 41 38 0 26 Aug 2020
A novel embedded min-max approach for feature selection in nonlinear support vector machine classification Asunción Jiménez-Cordero J. Morales S. Pineda 46 72 0 21 Apr 2020
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization Hussein Hazimeh Rahul Mazumder A. Saab 218 91 0 13 Apr 2020
Scalable Holistic Linear Regression Dimitris Bertsimas M. Li 55 19 0 08 Feb 2019
Mixed Integer Linear Programming for Feature Selection in Support Vector Machine M. Labbé Luisa I. Martínez-Merino A. M. Rodríguez-Chía VLM 32 40 0 07 Aug 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 409 183 0 05 Mar 2018
Piecewise-Linear Approximation for Feature Subset Selection in a Sequential Logit Model Toshiki Sato Yuichi Takano Ryuhei Miyashiro 46 27 0 19 Oct 2015
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 451 664 0 11 Jul 2015
Supersparse Linear Integer Models for Optimized Medical Scoring Systems Berk Ustun Cynthia Rudin 114 354 0 15 Feb 2015