The Utility of Knowledge in Inductive Learning
Machine Learning
Inductive Logic Programming: From Machine Learning to Software Engineering
Inductive Logic Programming: From Machine Learning to Software Engineering
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Learning Nonrecursive Definitions of Relations with LINUS
EWSL '91 Proceedings of the European Working Session on Machine Learning
ILP Experiments in Detecting Traffic Problems
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Learning relational cliches with contextual generalization
Learning relational cliches with contextual generalization
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A commonly used relational learning system (FOIL) is extended through the use of clichÉs, which are known to address FOIL's greedy search deficiencies. The issue of finding good biases in the form of clichÉs is addressed by learning the clichÉs. This paper shows empirically that such biases can be learned in one domain and applied in another, and that significant improvement in accuracy can be achieved in this setting. The approach is applied to a real-life problem of learning finite element method structures from examples.