TY  - GEN 
AU  - Gaudioso, Manlio
AU  - Gorgone, Enrico
AU  - Labbé, Martine
AU  - Rodríguez Chía, Antonio Manuel
A4  - Estadística e Investigación Operativa
PY  - 2017
SN  - 0305-0548
UR  - http://hdl.handle.net/10498/33860
AB  - We discuss a Lagrangian-relaxation-based heuristics for dealing with feature selection in the Support Vector Machine (SVM) framework for binary classification. In particular we embed into our objective function a weighted combination of the L1 and L0...
LA  - eng
PB  - Elsevier Ltd
KW  - SVM classification
KW  - feature selection
KW  - Lagrangian relaxatio
KW  - nonsmooth optimization
TI  - Lagrangian relaxation for SVM feature selection
DO  - 10.1016/J.COR.2017.06.001
ER  -