machine-learning
The kernel trick and support vector machines
taught
Substituting a general similarity function for the inner product, fitting a nonlinear boundary without explicitly expanding the feature space.
Taught in
-
The kernel trick and support vector machines
Modern Machine Learning
Requires
- soft-margin-and-cost-parameter required
Required by
- Gaussian processes required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.