The Utility of Knowledge in Inductive Learning
- Cite this article as:
- Pazzani, M. & Kibler, D. Machine Learning (1992) 9: 57. doi:10.1023/A:1022628829777
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. Furthermore, we evaluate, both theoretically and empirically, the effect that these forms of knowledge have on the cost and accuracy of learning. Lastly, we demonstrate that a hybrid explanation-based and inductive learning method can advantageously use an approximate domain theory, even when this theory is incorrect and incomplete.