Geometrical Properties of Nu Support Vector Machines with Different Norms

DOI10.1162/0899766054796897zbMath1075.68074OpenAlexW2071440539WikidataQ51964609 ScholiaQ51964609MaRDI QIDQ5699308

Kazushi Ikeda, Noboru Murata

Publication date: 26 October 2005

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

Full work available at URL: https://doi.org/10.1162/0899766054796897

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

On $\ell_p$-Support Vector Machines and Multidimensional Kernels ⋮ Optimal arrangements of hyperplanes for SVM-based multiclass classification ⋮ Support vector machines for classification of input vectors with different metrics ⋮ Support vector machines with adaptive \(L_q\) penalty

Cites Work

• An asymptotic statistical analysis of support vector machines with soft margins
• Arbitrary-norm separating plane
• Support vector machines with different norms: motivation, formulations and results
• An Asymptotic Statistical Theory of Polynomial Kernel Methods

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