Selection of Seed Examples in ILP

Tarek Abudawood, Peter Flach

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

In this paper we investigate different methods of selecting seed examples and their effect on learning first order rules in ILP. Based on large experimental results we concluded that they have significant impact on accuracies, the number of rules and the speed of induced models.
Translated title of the contributionSelection of Seed Examples in ILP
Original languageEnglish
Title of host publicationThe 3rd York Doctoral Symposium on Computing (YDS'10)
PublisherDepartment of Computer Science, The University of York
Publication statusPublished - 2010

Bibliographical note

Other page information: 29-38
Conference Proceedings/Title of Journal: The 3rd York Doctoral Symposium on Computing (YDS'10)
Other identifier: 2001271

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