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Results tagged with kernel-trick
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user 256841
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.
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What are kernels in support vector machine?
We define kernels as real-valued functions $\kappa(x,x')\in\mathbb{R}$ where $x,x'\in\mathbb{R}^n$.
Typically,
$\kappa(x,x')\geq 0$
$\kappa(x,x')=\kappa(x',x)$
So a kernel can be interpreted as a …
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