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: | 05 Nov 2024 09:59 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/21174 (The current URI for this page, for reference purposes) |
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