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Results tagged with kernel-trick
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user 103270
Kernel methods are used in machine learning to generalize linear techniques to nonlinear situations, especially SVMs, PCA, and GPs. Not to be confused with [kernel-smoothing], for kernel density estimation (KDE) and kernel regression.
3
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Accepted
Corresponding RKHS of Common Kernels
Interesting. Why would you want to know that?
At least the "lifting" function of the polynomial kernel is well known (and on wikipedia): https://en.wikipedia.org/wiki/Polynomial_kernel
Two very good …
- 551
2
votes
Projecting to lower/higher-dimensional space for classification: dimensionality reduction vs...
I won't have enough space in the comments to give my thoughts on Vinces answer, which is certainly very good but lacking some additional insight. Can answers be merged?
Dimensionality reduction would …
- 551