Kernel and neighborhood methods · MLD-0983
Random Fourier features
Random features approximating suitable shift-invariant kernels via sampled frequencies.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Approximate an RBF kernel with a linear model.
Original caveat
The kernel's spectral distribution determines sampling.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Inference.
Tags: ML.
Aliases: RFF.
Related concepts
Concepts linking here
Original references
- scikit-learn: nearest neighbors ↗ · Reference link
- scikit-learn: support vector machines ↗ · Reference link
- Original reference URL ↗