Machine learning foundations· 1992
A Practical Bayesian Framework for Backpropagation Networks
On the reading lists
- #493 in the Top 500 (2026 edition)
- #47 in Machine learning foundations (2026 edition)
Why it matters
Early practical Bayesian treatment of neural nets.
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.