Many existing rule learning systems are computationally expensive on large noisy datasets.
In this paper we evaluate the recently-proposed rule learning algorithm IREP on a large and …

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This paper describes foil, a system that learns Horn clauses from data expressed as
relations. foil is based on ideas that have proved effective in attribute-value learning …

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 …

This paper is a survey of inductive rule learning algorithms that use a separate-and-conquer
strategy. This strategy can be traced back to the AQ learning system and still enjoys …

This paper outlines some problems that may occur with Reduced Error Pruning in relational
learning algorithms, most notably efficiency. Thereafter a new method, Incremental Reduced …

Learning multiple descriptions for each class in the data has been shown to reduce
generalization error but the amount of error reduction varies greatly from domain to domain …

Gold showed in 1967 that not even regular grammars can be exactly identified from positive
examples alone. Since it is known that children learn natural grammars almost exclusively …

When communicating concepts, it is often convenient or even necessary to define a concept
approximately. A simple, although only approximately accurate concept definition may be …

In this paper, we demonstrate how different forms of background knowledge can be
integrated with an inductive method for generating function-free Horn clause rules …