Learning in the Limit in a Growing Language

Banerji, Ranan B.

Learning in the Limit in a Growing Language

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Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. Pages 280-281.

Abstract

This paper describes the design of an algorithm which learns a class of theories in the limit in a sublanguage of a first order language. The languages chosen are richer than those handled previously - needing a more efficient search through the version space. The language is not initially known to the system, but is learned together with the theory.

Ranan B. Banerji. 1987. Learning in the Limit in a Growing Language. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87. IJCAI, 280–281. https://ijcai.org/proceedings/1987/57

@inproceedings{ijcai1987p57,
  title     = {Learning in the Limit in a Growing Language},
  author    = {Banerji, Ranan B.},
  booktitle = {Proceedings of the Tenth International Joint Conference on
               Artificial Intelligence, {IJCAI-87}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {John McDermott},
  pages     = {280--281},
  year      = {1987},
  note      = {Knowledge Acquisition},
  url       = {https://ijcai.org/proceedings/1987/57},
}

TY  - CPAPER
TI  - Learning in the Limit in a Growing Language
AU  - Banerji, Ranan B.
T2  - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1987
SP  - 280
EP  - 281
UR  - https://ijcai.org/proceedings/1987/57
ER  -