An asymptotic statistical analysis of support vector machines with soft margins

DOI10.1016/J.NEUNET.2004.11.008zbMath1071.68538OpenAlexW2094269252MaRDI QIDQ557626

Tsutomu Aoishi, Kazushi Ikeda

Publication date: 30 June 2005

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2004.11.008

zbMATH Keywords

Asymptotic generalization errorLearning curveReduced convex hullSoft margin

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Statistical properties of support vector machines with forgetting factor ⋮ Geometrical Properties of Nu Support Vector Machines with Different Norms

Cites Work

• An Asymptotic Statistical Theory of Polynomial Kernel Methods
• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
• Support vector machines learning noisy polynomial rules
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