S Wrobel - Advances in inductive logic programming, 1996 - Citeseer
This paper summarizes the current state of the art in the topics of rst-order theory revision and theory restructuring. The various tasks involved in rst-order theory re nement (revision …
The 18th International Conference on Inductive Logic Programming was held in Prague, September 10–12, 2008. ILP returned to Prague after 11 years, and it is tempting to look at …
A Cropper, S Dumančić - Journal of Artificial Intelligence Research, 2022 - jair.org
Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypothesis (a set of logical rules) that generalises training examples. As ILP turns 30, we …
JR Quinlan, RM Cameron-Jones - … Learning Vienna, Austria, April 5–7 …, 1993 - Springer
FOIL is a learning system that constructs Horn clause programs from examples. This paper summarises the development of FOIL from 1989 up to early 1993 and evaluates its …
M Kubat, I Bratko, RS Michalski - … learning and data mining: methods and …, 1998 - Citeseer
The eld of machine learning was conceived nearly four decades ago with the bold objective to develop computational methods that would implement various forms of learning, in …
We describe an inductive logic programming (ILP) approach called learning from failures. In this approach, an ILP system (the learner) decomposes the learning problem into three …
J Davis, P Domingos - Proceedings of the 26th annual international …, 2009 - dl.acm.org
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, test …
A relational instance-based learning algorithm, called Ribl, is motivated and developed in this paper. We argue that instancebased methods o er solutions to the often unsatisfactory …
Abstract Knowledge acquisition is a difficult, error-prone, and time-consuming task. The task of automatically improving an existing knowledge base using learning methods is …