On estimating probabilities in tree pruning
EWSL-91 Proceedings of the European working session on learning on Machine learning
The Utility of Knowledge in Inductive Learning
Machine Learning
Automated Refinement of First-Order Horn-Clause Domain Theories
Machine Learning
Theories for mutagenicity: a study in first-order and feature-based induction
Artificial Intelligence - Special volume on empirical methods
Error reduction through learning multiple descriptions
Machine Learning
Machine Learning - special issue on inductive logic programming
Algorithmic Program DeBugging
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
ECML '93 Proceedings of the European Conference on Machine Learning
Efficient Multiple Predicate Learner Based on Fast Failure Mechanism
PRICAI '96 Proceedings of the 4th Pacific Rim International Conference on Artificial Intelligence: Topics in Artificial Intelligence
Learning and Revising Theories in Noisy Domains
ALT '97 Proceedings of the 8th International Conference on Algorithmic Learning Theory
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Knowledge acquisition with machine learning techniques is a fundamental requirement for knowledge discovery from databases and data mining systems. Two techniques in particular -- inductive learning and theory revision -- have been used toward this end. A method that combines both approaches to effectively acquire theories (regularity) from a set of training examples is presented. Inductive learning is used to acquire new regularity from the training examples; and theory revision is used to improve an initial theory. In addition, a theory preference criterion that is a combination of the MDL-based heuristic and the Laplace estimate has been successfully employed in the selection of the promising theory. The resulting algorithm developed by integrating inductive learning and theory revision and using the criterion has the ability to deal with complex problems, obtaining useful theories in terms of its predictive accuracy.