Multiple Predicate Learning
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Machine Learning. Pages 1037-1042.
Abstract
We study multiple predicate learning in an empirical setting. Problems with existing inductive logic programming approaches in this setting are sketched and an empirical ILP system, named MPL, that avoids these problems is proposed. Preliminary experiments indicate that MPL can solve problems beyond the scope of other ILP systems.
Luc de Raedt, Nada Lavrac, and Saso Dzeroski. 1993. Multiple Predicate Learning. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93. IJCAI, 1037–1042. https://ijcai.org/proceedings/1993/143
de Raedt, L., Lavrac, N., & Dzeroski, S. (1993). Multiple Predicate Learning. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 (pp. 1037–1042). IJCAI. https://ijcai.org/proceedings/1993/143
@inproceedings{ijcai1993p143,
title = {Multiple Predicate Learning},
author = {de Raedt, Luc and Lavrac, Nada and Dzeroski, Saso},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {1037--1042},
year = {1993},
note = {Machine Learning},
url = {https://ijcai.org/proceedings/1993/143},
}
TY - CPAPER TI - Multiple Predicate Learning AU - de Raedt, Luc AU - Lavrac, Nada AU - Dzeroski, Saso T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 1037 EP - 1042 UR - https://ijcai.org/proceedings/1993/143 ER -Copied
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