Machine learning foundations· 1992
Bayesian Interpolation
On the reading lists
- #68 in Machine learning foundations (2026 edition)
Why it matters
Established practical Bayesian regularization, evidence maximization, and automatic complexity control.
Condensed from the expert lists' notes.
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.