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Cumulative Scoring-Based Induction of Default Theories
2018
International Conference on Logic Programming
Significant research has been conducted in recent years to extend Inductive Logic Programming (ILP) methods to induce a more expressive class of logic programs such as answer set programs. The methods proposed perform an exhaustive search for the correct hypothesis. Thus, they are sound but not scalable to real-life datasets. Lack of scalability and inability to deal with noisy data in real-life datasets restricts their applicability. In contrast, top-down ILP algorithms such as FOIL, can
doi:10.4230/oasics.iclp.2018.2
dblp:conf/iclp/ShakerinG18
fatcat:cfxjfyr4andldc5tjbsatlknra