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Propositionalization through stochastic discrimination

Abstract
A Simple algorithm base on the theory of stochastic discrimination is developed for the fast extraction of sub-graphs with potential discriminative power from a given set of pre-classified graphs. A preliminary experimental evaluation indicates the potential of the approach. Limitations are discussed as well as directions for future research.
Type
Conference Contribution
Type of thesis
Series
Citation
Pfahringer, B. & Holmes, G. (2003). Propositionalization through stochastic discrimination. Paper presented at the 13th International Conference on Inductive Logic Programming(ILP 2003), Szeged, Hungary, September 29 - October 1, 2003.
Date
2003
Publisher
Department of Informatics, University of Szeged
Degree
Supervisors
Rights