Machine discovery in the presence of incomplete or ambiguous data

Lange, Steffen and Watson, Phil (1994) Machine discovery in the presence of incomplete or ambiguous data. In: Algorithmic Learning Theory, Proceedings of the 5th International Workshop, Rheinhardsbrunn, Germany, 1994. (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:	23 May 2014 14:06 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/21174 (The current URI for this page, for reference purposes)