Proceedings

An Empirical Comparison of ID3 and Back-propagation

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 788-792.

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: ID3 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.

Douglas H. Fisher, and Kathleen B. McKusick. 1989. An Empirical Comparison of ID3 and Back-propagation. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 788–792. https://ijcai.org/proceedings/1989/126
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