Improving support vector machine classif
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S. Amari; S. Wu
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Article
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1999
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Elsevier Science
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English
⚖ 624 KB
We propose a method of modifying a kernel function to improve the performance of a support vector machine classifier. This is based on the structure of the Riemannian geometry induced by the kernel function. The idea is to enlarge the spatial resolution around the separating boundary surface, by a c