A Short Introduction to Learning with Kernels
Schoelkopf, Bernhard; Smola, Alexander
Description
We briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a derivation of the support vector optimization problem for classification and regression, the ν-trick, various kernels a
Collections | ANU Research Publications |
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Date published: | 2003 |
Type: | Book chapter |
URI: | http://hdl.handle.net/1885/86108 |
Book Title: | Advanced Lectures on Machine Learning |
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File | Description | Size | Format | Image |
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01_Schoelkopf_A_Short_Introduction_to_2003.pdf | 304.45 kB | Adobe PDF | Request a copy |
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