Integrating Learning in a Neural Network
Abstract
Previous efforts to integrate Explanation-Based Learning (EBL) and Similarity-Based Learning (SBL) have treated these methods as distinct interactive processes. In contrast, the synthesis presented here views these techniques as emergent properties of associative learning in a neural network. Results are presented showing the system performing pure EBL, pure SBL, and using induction to patch a partially specified domain.
Cite
Text
Katz. "Integrating Learning in a Neural Network." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50025-4Markdown
[Katz. "Integrating Learning in a Neural Network." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/katz1989icml-integrating/) doi:10.1016/B978-1-55860-036-2.50025-4BibTeX
@inproceedings{katz1989icml-integrating,
title = {{Integrating Learning in a Neural Network}},
author = {Katz, Bruce F.},
booktitle = {International Conference on Machine Learning},
year = {1989},
pages = {69-71},
doi = {10.1016/B978-1-55860-036-2.50025-4},
url = {https://mlanthology.org/icml/1989/katz1989icml-integrating/}
}