Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "symbolic learning"

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An Application of Symbolic Learning to Intrusion Detection: Preliminary Results from the LUS Methodology

Kaufman, Kenneth A.; Cervone, Guido; Michalski, Ryszard S. (2003-06)

This paper describes briefly a method for applying AQ symbolic learning to problems of computer user modeling and intrusion detection. The method, called LUS (Learning User Signatures), learns models of users’ interaction ...
The Development of the AQ20 Learning System and Initial Experiments

Michalski, Ryszard S.; Cervone, Guido; Panait, Liviu A. (2001-)

Research on a new system implementing the AQ learning methodology, called AQ20, is briefly described, and illustrated by initial results from an experimental version. Like its predecessors, AQ20 is a multi-purpose learning ...

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