Development of methods how to avoid the overfitting-effect within the GeLog-system
Kókai G (2003)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2003
Journal
Publisher: Springer-verlag
Edited Volumes: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Series: Lecture Notes in Computer Science
City/Town: Berlin Heidelberg
Book Volume: 2774
Pages Range: 958-966
Conference Proceedings Title: Knowledge-Based Intelligent Information and Engineering Systems - 7th International Conference, KES 2003
Event location: Oxford
ISBN: 978-3-540-40804-8
URI: http://www2.informatik.uni-erlangen.de/publication/download/KES2003.ps.gz
DOI: 10.1007/978-3-540-45226-3_131
Abstract
This article examines the methods how to avoid an overfitting-effect within GeLog-systems. This effect can be observed in nearly all systems of inductive concept learning, if due to false classification of examples false, especially too specific theories, are learned. There are a number or procedures, how to counter the effects of the overfitting-effect or to avoid it. This article develops criteria for the selection of those procedures. In this context, the integrability into the GeLog-system, a system of genetic inductive logic programming, is of great importance. Finally, a filter procedure, based on the correlation heuristic, which is also used for top-down-pruning, is selected, as it promised the possible application to a relatively huge amount of problems. After that, the efficiency of the methods will be proven with the help of systematic experiments.
How to cite
APA:
Kókai, G. (2003). Development of methods how to avoid the overfitting-effect within the GeLog-system. In Vasile Palade, Robert J. Howlett, Lakhmi Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems - 7th International Conference, KES 2003 (pp. 958-966). Oxford, GB: Berlin Heidelberg: Springer-verlag.
MLA:
Kókai, Gabriella. "Development of methods how to avoid the overfitting-effect within the GeLog-system." Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES'2003), Oxford Ed. Vasile Palade, Robert J. Howlett, Lakhmi Jain, Berlin Heidelberg: Springer-verlag, 2003. 958-966.
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