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ESANN
2006

Variants of Unsupervised Kernel Regression: General cost functions

13 years 5 months ago
Variants of Unsupervised Kernel Regression: General cost functions
We present an extension to a recent method for learning of nonlinear manifolds, which allows to incorporate general cost functions. We focus on the -insensitive loss and visually demonstrate our method on both toy and real data.
Stefan Klanke, Helge Ritter
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2006
Where ESANN
Authors Stefan Klanke, Helge Ritter
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