On support vector machines under a multiple-cost scenario

DOI10.1007/s11634-018-0330-5zbMath1474.62211OpenAlexW2886321578WikidataQ129442098 ScholiaQ129442098MaRDI QIDQ2324253

Sandra Benítez-Peña, Rafael Blanquero, Pepa Ramírez-Cobo, Emilio Carrizosa

Publication date: 11 September 2019

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://idus.us.es/handle//11441/107821

zbMATH Keywords

support vector machinesmixed integer quadratic programmingmisclassification costsconstrained classificationsensitivity/specificity trade-off

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Mixed integer programming (90C11) Nonlinear programming (90C30)

Related Items

Variable selection for Naïve Bayes classification ⋮ Optimal arrangements of hyperplanes for SVM-based multiclass classification ⋮ On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19 ⋮ Constrained Naïve Bayes with application to unbalanced data classification

Uses Software

• UCI-ml
• Gurobi
• Bonmin
• KEEL
• Python

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bonmin
• Python
• Best subset selection via a modern optimization lens
• Supervised classification and mathematical optimization
• Another look at linear programming for feature selection via methods of regularization
• An algorithmic framework for convex mixed integer nonlinear programs
• A comparative study on large scale kernelized support vector machines
• Near-Bayesian support vector machines for imbalanced data classification with equal or unequal misclassification costs
• Cost-sensitive feature selection for support vector machines
• Cost-based feature selection for support vector machines: an application in credit scoring
• Optimization approaches to supervised classification
• Support-vector networks
• Multi-group support vector machines with measurement costs: A biobjective approach
• 10.1162/15324430152733133
• Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis
• Imbalanced Learning
• Probability Inequalities for Sums of Bounded Random Variables
• The elements of statistical learning. Data mining, inference, and prediction
• Support vector machines for classification in nonstandard situations