Fast training of support vector machines with Gaussian kernel

DOI10.1016/j.disopt.2015.03.002zbMath1387.68197OpenAlexW2036915635MaRDI QIDQ1751182

Matteo Fischetti

Publication date: 24 May 2018

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

Full work available at URL: https://doi.org/10.1016/j.disopt.2015.03.002

zbMATH Keywords

classificationmixed integer programmingsupport vector machine

Mathematics Subject Classification ID

Mixed integer programming (90C11) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Deep neural networks and mixed integer linear optimization ⋮ Global optimization issues in deep network regression: an overview ⋮ Multiple instance classification via quadratic programming

Uses Software

• ElemStatLearn

Cites Work

• Supervised classification and mathematical optimization
• Support Vector Machines with the Ramp Loss and the Hard Margin Loss
• The elements of statistical learning. Data mining, inference, and prediction

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