An Asymptotic Statistical Theory of Polynomial Kernel Methods

DOI10.1162/089976604774201659zbMath1102.68561OpenAlexW2116280046MaRDI QIDQ4832490

Kazushi Ikeda

Publication date: 4 January 2005

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

Full work available at URL: https://doi.org/10.1162/089976604774201659

zbMATH Keywords

support vector machinekernel classifiers

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Geometrical Properties of Nu Support Vector Machines with Different Norms ⋮ An asymptotic statistical analysis of support vector machines with soft margins

Cites Work

• A theory of the learnable
• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

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