An Empirical Comparison of ID3 and Back-Propagation
Abstract
AI and connectionist approaches to learning from examples differ in knowledge-base representation and inductive mechanisms. To explore these differences we experiment with a system from each paradigm: 1D3 and back-propagation. We compare the systems on the basis of both prediction accuracy and length of training. The systems show distinct performance differences across a variety of domains. We identify aspects of each system that may account for these performance differences. Finally, we suggest paths for cross-paradigm interaction. 1
Cite
Text
Fisher and McKusick. "An Empirical Comparison of ID3 and Back-Propagation." International Joint Conference on Artificial Intelligence, 1989.Markdown
[Fisher and McKusick. "An Empirical Comparison of ID3 and Back-Propagation." International Joint Conference on Artificial Intelligence, 1989.](https://mlanthology.org/ijcai/1989/fisher1989ijcai-empirical/)BibTeX
@inproceedings{fisher1989ijcai-empirical,
title = {{An Empirical Comparison of ID3 and Back-Propagation}},
author = {Fisher, Douglas H. and McKusick, Kathleen B.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1989},
pages = {788-793},
url = {https://mlanthology.org/ijcai/1989/fisher1989ijcai-empirical/}
}