(Enter summary)
Abstract: Ensembles have proven useful for a variety of applications,
with a variety of machine learning approaches. While Quinlan has applied
boosting to FOIL, the widely-used approach of bagging has never
been employed in ILP. Bagging has the advantage over boosting that the
different members of the ensemble can be learned and used in parallel. (Update)
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BibTeX entry: (Update)
I. de Castro Dutra, D. Page, V. Santos Costa, and J. Shavlik. An empirical evaluation of bagging in inductive logic programming. In Proceedings of the Twelfth International Conference on Inductive Logic Programming, Sydney, Australia, July 2002. Springer-Verlag. http://citeseer.ist.psu.edu/article/decastrodutra02empirical.html More
@misc{ dutra02empirical,
author = "I. Dutra and D. Page and V. Costa and J. Shavlik",
title = "An empirical evaluation of bagging in inductive logic programming",
text = "I. de Castro Dutra, D. Page, V. Santos Costa, and J. Shavlik. An empirical
evaluation of bagging in inductive logic programming. In Proceedings of
the Twelfth International Conference on Inductive Logic Programming, Sydney,
Australia, July 2002. Springer-Verlag.",
year = "2002",
url = "citeseer.ist.psu.edu/article/decastrodutra02empirical.html" }
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