Learning from Noise Data with the Help of Logic Programming Systems
Bauer E, Kókai G (2005)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2005
Journal
Publisher: WSEAS Press
Edited Volumes: WSEAS Transactions on Information Science and Applications
Series: WSEAS Transactions on Information Science and Application
Book Volume: 2
Pages Range: 104-110
Conference Proceedings Title: WSEAS Transactions on Information Science and Application
Event location: Salzburg
Journal Issue: 2
URI: http://www.worldses.org/journals/information/information-february2005.doc
Abstract
This paper presents an overview of the recent systems, that combine inductive logic programming with genetic algorithms. The systems are described and then compared to their design and their behaviour with correct and incorrect training data.
How to cite
APA:
Bauer, E., & Kókai, G. (2005). Learning from Noise Data with the Help of Logic Programming Systems. In WSEAS Transactions on Information Science and Application (pp. 104-110). Salzburg, AT: WSEAS Press.
MLA:
Bauer, Elena, and Gabriella Kókai. "Learning from Noise Data with the Help of Logic Programming Systems." Proceedings of the Intl. Conf. on Artificial Intelligence, Knowledge Engineering, Data Bases (AIKED 2005), Salzburg WSEAS Press, 2005. 104-110.
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