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/B978-1-55860-036-2.50025-4

Markdown

[Katz. "Integrating Learning in a Neural Network." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/katz1989icml-integrating/) doi:10.1016/B978-1-55860-036-2.50025-4

BibTeX

@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/}
}