Machine learning foundations· 2004
Finding scientific topics
On the reading lists
- #65 in Machine learning foundations (2026 edition)
Why it matters
Popularized Gibbs sampling for LDA and demonstrated practical scientific topic discovery.
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.