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2009 WRI World Congress on Computer Science and Information Engineering
Learning Relations by Path Finding and Simultaneous Covering
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
In this paper, we propose a simultaneous covering inductive logic programming approach RPBL (Relational Paths-Based Learning). It uses relational paths as explanations for positive training examples to overcome the explosion problem existed in standard inductive logic programming. It benefits greatly from a simultaneous covering strategy, and avoids local maxima and local plateaus. Experimental results show that it not only performs better than standard approaches such as FOIL, but also than some state-of-the-art approaches.
Index Terms:
Machine Learning, Inductive Logic Programming
Citation:
Zhiqiang Gao, Zhizheng Zhang, Zhisheng Huang, "Learning Relations by Path Finding and Simultaneous Covering," csie, vol. 5, pp.539-543, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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