Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.100
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.
Machine Learning, Inductive Logic Programming
Z. Huang, Z. Zhang and Z. Gao, "Learning Relations by Path Finding and Simultaneous Covering," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 539-543.