Learning the optimal kernel for Fisher discriminant analysis via second order cone programming

DOI10.1016/j.ejor.2009.09.020zbMath1177.90217OpenAlexW2064458811MaRDI QIDQ1046076

Reshma Khemchandani, Suresh Chandra, Basabi Bhaumik Jayadeva

Publication date: 21 December 2009

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2009.09.020

zbMATH Keywords

convex optimizationsemidefinite programmingFisher discriminant analysiskernel methodssupport vector machinesmachine learningsecond order cone programmingkernel optimization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quadratic programming (90C20) Management decision making, including multiple objectives (90B50)

Related Items (1)

Robust kernel discriminant analysis using fuzzy memberships

Uses Software

• UCI-ml
• Mosek

Cites Work

• Linear programming approaches for multicategory support vector machines
• Support-vector networks
• Knowledge based proximal support vector machines
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