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Machine discovery in the presence of incomplete or ambiguous data

Lange, Steffen, Watson, Phil (1994) Machine discovery in the presence of incomplete or ambiguous data. In: Jantke, Klaus P., ed. Algorithmic Learning Theory, Proceedings of the 5th International Workshop, Rheinhardsbrunn, Germany, 1994. Lecture Notes in Artificial Intelligence , 872. pp. 438-452. Springer Verlag (doi:10.1007/3-540-58520-6_82) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21174)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1007/3-540-58520-6_82
Item Type: Conference or workshop item (UNSPECIFIED)
DOI/Identification number: 10.1007/3-540-58520-6_82
Uncontrolled keywords: inductive learning theory, refuting learning
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 12 Aug 2009 20:37 UTC
Last Modified: 09 Mar 2023 11:31 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21174 (The current URI for this page, for reference purposes)

University of Kent Author Information

Watson, Phil.

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