Kernel Methods for Manifold Estimation

Bernhard Schölkopf ()
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Bernhard Schölkopf: Max-Planck-Institut für biologische Kybernetik

A chapter in COMPSTAT 2004 — Proceedings in Computational Statistics, 2004, pp 441-452 from Springer

Abstract: Abstract We describe methods for estimating manifolds in high-dimensional spacs.They work by mapping the data into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.

Keywords: Kernel methods; support vector machines; quantile estimation (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2656-2_36

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DOI: 10.1007/978-3-7908-2656-2_36

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