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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 (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)

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. (Contact us about this Publication)
Item Type: Conference or workshop item (UNSPECIFIED)
Uncontrolled keywords: inductive learning theory, refuting learning
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Theoretical Computing Group
Depositing User: Mark Wheadon
Date Deposited: 12 Aug 2009 20:37 UTC
Last Modified: 28 May 2019 14:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21174 (The current URI for this page, for reference purposes)
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