6533b821fe1ef96bd127ac01
RESEARCH PRODUCT
Co-learning of recursive languages from positive data
Rusins FreivaldsThomas Zeugmannsubject
Recursive data typeRecursive languageComputer scienceProgramming languageRecursive functionsAbstract family of languagesPositive dataInductive reasoningSpace (commercial competition)computer.software_genreLanguage acquisitioncomputerdescription
The present paper deals with the co-learnability of enumerable families L of uniformly recursive languages from positive data. This refers to the following scenario. A family L of target languages as well as hypothesis space for it are specified. The co-learner is fed eventually all positive examples of an unknown target language L chosen from L. The target language L is successfully co-learned iff the co-learner can definitely delete all but one possible hypotheses, and the remaining one has to correctly describe L.
year | journal | country | edition | language |
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1996-01-01 |