A Method for Reducing the Number of Support Vectors in Fuzzy Support Vector Machine

DOI10.1007/978-3-319-38884-7_2zbMath1353.68240OpenAlexW2492026669MaRDI QIDQ2955911

Nguyen Manh Cuong, Nguyen Van Thien

Publication date: 13 January 2017

Published in: Advanced Computational Methods for Knowledge Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-38884-7_2

zbMATH Keywords

DC programming and DCAfuzzy support vector machinesupport vector reduction

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Support vector machine with Dirichlet feature mapping

Uses Software

• RSVM

Cites Work

• Unnamed Item
• The Adaptive Lasso and Its Oracle Properties
• Adaptive simplification of solution for support vector machine
• Learning sparse classifiers with difference of convex functions algorithms
• 10.1162/15324430260185637
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• 10.1162/153244303322753616
• 10.1162/153244303322753706

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