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/}
}