Kernel and neighborhood methods · MLD-0598
Kernel approximation
Using explicit finite features to approximate a kernel.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Scale kernel-like learning to larger datasets.
Original caveat
Approximation quality trades off against feature count.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Inference.
Tags: ML.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- scikit-learn: nearest neighbors ↗ · Reference link
- scikit-learn: support vector machines ↗ · Reference link
- Original reference URL ↗