Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces

DOI10.1007/s11590-020-01616-wzbMath1466.90100OpenAlexW3041085669MaRDI QIDQ828659

Alvaro J. Riascos Villegas, Adolfo J. Quiroz, Mateo Dulce Rubio, Diana C. Montañés

Publication date: 5 May 2021

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-020-01616-w

zbMATH Keywords

support vector machinespivotsnearest neighbors methodshigh dimensional features

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonlinear programming (90C30)

Related Items (1)

Proximal operator and optimality conditions for ramp loss SVM

Uses Software

• bmrm

Cites Work

• Nearest neighbors methods for support vector machines
• Support-vector networks
• Neighborhood Property–Based Pattern Selection for Support Vector Machines
• The elements of statistical learning. Data mining, inference, and prediction
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