A Mixed Integer Linear Programming Support Vector Machine for Cost-Effective Group Feature Selection: Branch-Cut-and-Price Approach

Cost Effective ◽

Mixed Integer ◽

Support Vector ◽

Programming Support ◽

Price Approach ◽

Effective Group

A mixed integer linear programming support vector machine for cost-effective feature selection

Knowledge-Based Systems ◽

10.1016/j.knosys.2020.106145 ◽

2020 ◽

Vol 203 ◽

pp. 106145

Author(s):

In Gyu Lee ◽

Qianqian Zhang ◽

Sang Won Yoon ◽

Daehan Won

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Linear Programming ◽

Cost Effective ◽

Mixed Integer ◽

Support Vector ◽

Programming Support

Mixed integer linear programming for feature selection in support vector machine

Discrete Applied Mathematics ◽

10.1016/j.dam.2018.10.025 ◽

2019 ◽

Vol 261 ◽

pp. 276-304 ◽

Cited By ~ 3

Author(s):

Martine Labbé ◽

Luisa I. Martínez-Merino ◽

Antonio M. Rodríguez-Chía

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Linear Programming ◽

Mixed Integer ◽

Support Vector

Feature selection for Support Vector Machines via Mixed Integer Linear Programming

Information Sciences ◽

10.1016/j.ins.2014.03.110 ◽

2014 ◽

Vol 279 ◽

pp. 163-175 ◽

Cited By ~ 38

Author(s):

Sebastián Maldonado ◽

Juan Pérez ◽

Richard Weber ◽

Martine Labbé

Keyword(s):

Feature Selection ◽

Linear Programming ◽

Support Vector Machines ◽

Mixed Integer ◽

Support Vector ◽

Vector Machines ◽

Selection For

The Support Vector Machine and Mixed Integer Linear Programming: Ramp Loss SVM with L1-Norm Regularization

Operations Research and Computing: Algorithms and Software for Analytics ◽

10.1287/ics.2015.0017 ◽

2015 ◽

pp. 226-235 ◽

Cited By ~ 2

Author(s):

Eric J. Hess ◽

J. Paul Brooks

Keyword(s):

Support Vector Machine ◽

Linear Programming ◽

Mixed Integer ◽

Support Vector ◽

L1 Norm ◽

Ramp Loss

Mixed integer linear programming and heuristic methods for feature selection in clustering

Journal of the Operational Research Society ◽

10.1080/01605682.2017.1398206 ◽

2018 ◽

Vol 69 (9) ◽

pp. 1379-1395 ◽

Cited By ~ 4

Author(s):

Stefano Benati ◽

Sergio García ◽

Justo Puerto

Keyword(s):

Feature Selection ◽

Linear Programming ◽

Mixed Integer ◽

Heuristic Methods

A Mixed-Integer Linear Programming based Training and Feature Selection Method for Artificial Neural Networks using Piece-wise Linear Approximations

Chemical Engineering Science ◽

10.1016/j.ces.2021.117273 ◽

2021 ◽

pp. 117273

Author(s):

Hasan Sildir ◽

Erdal Aydin

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Linear Programming ◽

Artificial Neural Networks ◽

Feature Selection Method ◽

Selection Method ◽

Mixed Integer ◽

Artificial Neural

Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application

SN Computer Science ◽

10.1007/s42979-020-00381-y ◽

2020 ◽

Vol 1 (6) ◽

Author(s):

Elaheh Jafarigol ◽

Theodore Trafalis

Keyword(s):

Support Vector Machine ◽

Linear Programming ◽

Weather Data ◽

Support Vector ◽

Imbalanced Learning ◽

Parametric Linear Programming ◽

Data Application ◽

Programming Support

Stencil Printing Optimization using a Hybrid of Support Vector Regression and Mixed-integer Linear Programming

Procedia Manufacturing ◽

10.1016/j.promfg.2017.07.318 ◽

2017 ◽

Vol 11 ◽

pp. 1809-1817 ◽

Cited By ~ 9

Author(s):

Nourma Khader ◽

Sang Won Yoon ◽

Debiao Li

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Mixed Integer ◽

Support Vector ◽

Stencil Printing

Faculty Opinions recommendation of COMSAT: Residue contact prediction of transmembrane proteins based on support vector machines and mixed integer linear programming.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726184756.793534327 ◽

2017 ◽

Author(s):

Charlotte Deane

Keyword(s):

Linear Programming ◽

Support Vector Machines ◽

Transmembrane Proteins ◽

Mixed Integer ◽

Support Vector ◽

Contact Prediction ◽

Residue Contact ◽

Vector Machines

Feature selection for multiclass discrimination via mixed-integer linear programming

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2003.1201827 ◽

2003 ◽

Vol 25 (6) ◽

pp. 779-783 ◽

Cited By ~ 25

Author(s):

F.J. Iannarilli ◽

P.A. Rubin

Keyword(s):

Feature Selection ◽

Linear Programming ◽

Mixed Integer ◽

Selection For