Multiple Predicate Learning

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.

• Type: Conference
• Year: 1993
• Where: IJCAI
• Authors: Luc De Raedt, Nada Lavrac, Saso Dzeroski
• Keywords: Empirical Ilp System, Empirical Setting, IJCAI 1993, IJCAI 2007, ILP Systems