TY  - JOUR 
AU  - Blanco Izquierdo, Víctor
AU  - Japón, Alberto
AU  - Puerto, Justo
PY  - 2022
UR  - https://hdl.handle.net/10481/77303
AB  - In this paper we propose novel methodologies to optimally construct Support Vector Machine-based classifiers that take into account that label noise occur in the training sample. We propose different alternatives based on solving Mixed Integer Linear...
LA  - eng
PB  - Elsevier
KW  - Supervised classification
KW  - SVM
KW  - Mixed integer non linear programming
KW  - Label noise
TI  - A mathematical programming approach to SVM-based classification with label noise
DO  - 10.1016/j.cie.2022.108611
ER  -