Radius Margin Bounds for Support Vector Machines with the RBF Kernel

DOI10.1162/089976603322385108zbMath1085.68123OpenAlexW2099680562WikidataQ51807787 ScholiaQ51807787MaRDI QIDQ4813882

Wei-Chun Kao, Li-Lun Wang, Chih-Jen Lin, Chia-Liang Sun, Kai-Min Chung

Publication date: 7 September 2004

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: http://ntur.lib.ntu.edu.tw//handle/246246/155239

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• SVMlight
• TRON
• LIBSVM

Cites Work

• Interpolation of scattered data: distance matrices and conditionally positive definite functions
• On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems
• Optimization Problems with Perturbations: A Guided Tour
• Newton's Method for Large Bound-Constrained Optimization Problems
• Choosing multiple parameters for support vector machines