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Results tagged with supervised-learning
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user 256841
Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.
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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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