Probably approximately correct learning
Probably approximately correct learning
Common
Rarity: Common
The most frequent rarity: most Wikipedia articles become Commons.
Rarity follows how well known the article is: its views on the French and English Wikipedia over a year, and the number of languages it exists in.
At a glance
- Class
- Notion
- Domain
- Science and technology
- In collections
- Nobody has pulled it yet.
What Wikipedia says
In computational learning theory, probably approximately correct (PAC) learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant.
Excerpt from the Wikipedia article “Probably approximately correct learning”, under the CC BY-SA 4.0 license. Read the article on Wikipedia
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