Induction of logical relations based on specific generalization of strings
22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedings
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/26950
Learning logical relations from examples expressed as first order facts has been studied extensively by the Inductive Logic Programming research. Learning with positive-only data may cause over generalization of examples leading to inconsistent resulting hypotheses. A learning heuristic inferring specific generalization of strings based on unique match sequences is shown to be capable of learning predicates with string arguments. This paper describes an inductive learner based on the idea of specific generalization of strings, and the given clauses are generalized by considering the background knowledge. ©2007 IEEE.
- Conference Paper 2294