Multi-Layer Hierarchical Rule Learning in Reactive Robot Control Using Incremental Decision Trees
Journal of Intelligent and Robotic Systems
The Knowledge Engineering Review
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Hi-index | 0.00 |
The ability to restructure a decision tree efficiently enables a variety of approaches to decision tree induction that would otherwise be prohibitively expensive. This report describes two such approaches, one being incremental tree induction, and the other being non-incremental tree induction using a measure of tree quality instead of test quality. The algorithm ITI for incremental tree induction includes several significant advances from its predecessor ID5R, and the algorithm DMTI for employing a direct metric of tree quality is entirely new.