On universal learning algorithms
β Scribed by Oded Goldreich; Dana Ron
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 524 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0020-0190
No coin nor oath required. For personal study only.
β¦ Synopsis
We observe that there exists a universal learning algorithm that PAc-learns every concept class within complexity that is linearly related to the complexity of the best learning algorithm for this class. This observation is derived by an adaptation, to the learning context, of Levin's proof of the existence of optimal algorithms for NP.
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