| dc.contributor.author | Pfahringer, Bernhard | |
| dc.contributor.author | Holmes, Geoffrey | |
| dc.coverage.spatial | Conference held at University of Szeged, Hungary | en_NZ |
| dc.date.accessioned | 2008-11-28T01:56:00Z | |
| dc.date.available | 2008-11-28T01:56:00Z | |
| dc.date.issued | 2003 | |
| dc.identifier.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. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10289/1492 | |
| dc.description.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. | en_US |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.publisher | Department of Informatics, University of Szeged | en_NZ |
| dc.subject | computer science | en_US |
| dc.subject | propositionalization | en_US |
| dc.subject | Machine learning | |
| dc.title | Propositionalization through stochastic discrimination | en_US |
| dc.type | Conference Contribution | en_US |
| dc.relation.isPartOf | 13th International Conference on Inductive Logic Programming | en_NZ |
| pubs.begin-page | 60 | en_NZ |
| pubs.elements-id | 15974 | |
| pubs.end-page | 68 | en_NZ |
| pubs.finish-date | 2003-10-01 | en_NZ |
| pubs.place-of-publication | Hungary | en_NZ |
| pubs.start-date | 2003-09-29 | en_NZ |
| pubs.volume | Proceedings of the Work-in-Progress Track at the 13th International Conference on Inductive Logic Programming | en_NZ |
