Inducing Probabilistic Relational Rules from Probabilistic Examples
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1835-1842.
Abstract
We study the problem of inducing logic programs in a probabilistic setting, in which both the example descriptions and their classification can be probabilistic. The setting is incorporated in the probabilistic rule learner ProbFOIL+, which combines principles of the rule learner FOIL with ProbLog, a probabilistic Prolog. We illustrate the approach by applying it to the knowledge base of NELL, the Never-Ending Language Learner.
Luc de Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, and Mathias Verbeke. 2015. Inducing Probabilistic Relational Rules from Probabilistic Examples. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 1835–1842. https://ijcai.org/proceedings/2015/261
de Raedt, L., Dries, A., Thon, I., Van den Broeck, G., & Verbeke, M. (2015). Inducing Probabilistic Relational Rules from Probabilistic Examples. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 (pp. 1835–1842). IJCAI. https://ijcai.org/proceedings/2015/261
@inproceedings{ijcai2015p261,
title = {Inducing Probabilistic Relational Rules from Probabilistic Examples},
author = {de Raedt, Luc and Dries, Anton and Thon, Ingo and Van den Broeck, Guy and Verbeke, Mathias},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {1835--1842},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/261},
}
TY - CPAPER TI - Inducing Probabilistic Relational Rules from Probabilistic Examples AU - de Raedt, Luc AU - Dries, Anton AU - Thon, Ingo AU - Van den Broeck, Guy AU - Verbeke, Mathias T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 1835 EP - 1842 UR - https://ijcai.org/proceedings/2015/261 ER -Copied
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