Support vector machines and kernel methods#
SVMs, kernel ridge and kernel approximations.
Kernel methods: kernel ridge regression and kernel feature approximations. |
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Kernel ridge regression. |
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Linear support vector classification. |
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Linear support vector regression. |
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Approximate a kernel map with the Nystroem method. |
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Approximate the RBF kernel with random Fourier features. |
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C-support vector classification. |
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Support vector machines. |
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Epsilon-support vector regression. |