Support vector machines for classification of input vectors with different metrics

DOI10.1016/j.camwa.2011.03.071zbMath1221.68219OpenAlexW1968906224MaRDI QIDQ639117

Juan-Miguel Gracia

Publication date: 18 September 2011

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2011.03.071

zbMATH Keywords

pattern recognition\(\ell _{p}\) normlearning machinemaximal margin principle

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

On $\ell_p$-Support Vector Machines and Multidimensional Kernels

Cites Work

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• LOCATING A SINGLE FACILITY IN THE PLANE IN THE PRESENCE OF A BOUNDED REGION AND DIFFERENT NORMS
• Geometrical Properties of Nu Support Vector Machines with Different Norms

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