An improved working set selection for SMO-type decomposition method

DOI10.1016/j.nonrwa.2010.02.013zbMath1204.68163OpenAlexW2009554980MaRDI QIDQ708545

Zhang Yi, Lin Zuo, Jian Cheng Lv

Publication date: 14 October 2010

Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nonrwa.2010.02.013

zbMATH Keywords

working set selectionsupport vector machineKarush-Kuhn-Tucker conditionsequential minimal optimization

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Improvements to Platt's SMO Algorithm for SVM Classifier Design
• Convergence of a generalized SMO algorithm for SVM classifier design
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