ML Anthology

The Effects of Noise on Efficient Incremental Induction (Extended Abstract)

Gerard V. Conroy, David M. Dutton
ECML-PKDD 1995 pp. 275-278
doi:10.1007/3-540-59286-5_66 /ecmlpkdd/1995/conroy1995ecml-effects/

Abstract

This paper presents an algorithm JITTER, that aims to eliminate any unnecessary work done whilst incrementally building decision trees. In particular, we illustrate how high levels of noise can greatly affect the efficiency of induction and how a straightforward approach can ameliorate these effects.

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Cite

Text

Conroy and Dutton. "The Effects of Noise on Efficient Incremental Induction (Extended Abstract)." European Conference on Machine Learning, 1995. doi:10.1007/3-540-59286-5_66

Markdown

[Conroy and Dutton. "The Effects of Noise on Efficient Incremental Induction (Extended Abstract)." European Conference on Machine Learning, 1995.](https://mlanthology.org/ecmlpkdd/1995/conroy1995ecml-effects/) doi:10.1007/3-540-59286-5_66

BibTeX

@inproceedings{conroy1995ecml-effects,
  title     = {{The Effects of Noise on Efficient Incremental Induction (Extended Abstract)}},
  author    = {Conroy, Gerard V. and Dutton, David M.},
  booktitle = {European Conference on Machine Learning},
  year      = {1995},
  pages     = {275-278},
  doi       = {10.1007/3-540-59286-5_66},
  url       = {https://mlanthology.org/ecmlpkdd/1995/conroy1995ecml-effects/}
}