Noise and Knowledge Acquisition

Abstract

In this paper we analyse how noise can affect Knowledge Acquisition from a Machine Learning perspective. We present some methods to detect and treat noise that goes beyond modulating numerical coefficients and show that noise cannot be viewed as a single entity. There are several different types of noise and noise is not only wrong information. I.

Cite

Text

Manago and Kodratoff. "Noise and Knowledge Acquisition." International Joint Conference on Artificial Intelligence, 1987.

Markdown

[Manago and Kodratoff. "Noise and Knowledge Acquisition." International Joint Conference on Artificial Intelligence, 1987.](https://mlanthology.org/ijcai/1987/manago1987ijcai-noise/)

BibTeX

@inproceedings{manago1987ijcai-noise,
  title     = {{Noise and Knowledge Acquisition}},
  author    = {Manago, Michel and Kodratoff, Yves},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1987},
  pages     = {348-354},
  url       = {https://mlanthology.org/ijcai/1987/manago1987ijcai-noise/}
}