Error Correction in Constructive Induction

Abstract

This paper reports on MIRO, a constructive induction method that achieves substantive noise resistance with a small training set. It is possible to regard MIRO as a learning method that constructs and then performs induction in an abstraction space. After outlining the concept formation algorithm, we describe a postprocessor which identifies positive instances that are likely to contain noise, corrects them, and repairs noise-induced errors in the concept description.

Cite

Text

Drastal et al. "Error Correction in Constructive Induction." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50029-1

Markdown

[Drastal et al. "Error Correction in Constructive Induction." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/drastal1989icml-error/) doi:10.1016/B978-1-55860-036-2.50029-1

BibTeX

@inproceedings{drastal1989icml-error,
  title     = {{Error Correction in Constructive Induction}},
  author    = {Drastal, George and Meunier, Regine and Raatz, Stan},
  booktitle = {International Conference on Machine Learning},
  year      = {1989},
  pages     = {81-83},
  doi       = {10.1016/B978-1-55860-036-2.50029-1},
  url       = {https://mlanthology.org/icml/1989/drastal1989icml-error/}
}