On the learnability of recursively enumerable languages from good examples
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Publication:5941366
DOI10.1016/S0304-3975(00)00131-6zbMath0973.68090OpenAlexW2022718789MaRDI QIDQ5941366
Steffen Lange, Jochen Nessel, Sanjay Jain
Publication date: 20 August 2001
Published in: Theoretical Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-3975(00)00131-6
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Cites Work
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- Comparison of identification criteria for machine inductive inference
- Elementary formal systems, intrinsic complexity, and procrastination
- Teachability in computational learning
- Prudence and other conditions on formal language learning
- Teaching a smarter learner.
- Finding patterns common to a set of strings
- Inductive inference from all positive and some negative data
- On the power of inductive inference from good examples
- Learning recursive languages from good examples
- Lange and Wiehagen's pattern language learning algorithm: An average-case analysis with respect to its total learning time
- Incremental concept learning for bounded data mining.
- Language learning with some negative information
- Inductive inference of formal languages from positive data
- Toward a mathematical theory of inductive inference
- A Machine-Independent Theory of the Complexity of Recursive Functions
- Language identification in the limit
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