Noise and Knowledge Acquisition

Manago, Michel; Kodratoff, Yves

Noise and Knowledge Acquisition

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Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. Pages 348-353.

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.

Michel Manago, and Yves Kodratoff. 1987. Noise and Knowledge Acquisition. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87. IJCAI, 348–353. https://ijcai.org/proceedings/1987/72

@inproceedings{ijcai1987p72,
  title     = {Noise and Knowledge Acquisition},
  author    = {Manago, Michel and Kodratoff, Yves},
  booktitle = {Proceedings of the Tenth International Joint Conference on
               Artificial Intelligence, {IJCAI-87}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {John McDermott},
  pages     = {348--353},
  year      = {1987},
  note      = {Knowledge Acquisition},
  url       = {https://ijcai.org/proceedings/1987/72},
}

TY  - CPAPER
TI  - Noise and Knowledge Acquisition
AU  - Manago, Michel
AU  - Kodratoff, Yves
T2  - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1987
SP  - 348
EP  - 353
UR  - https://ijcai.org/proceedings/1987/72
ER  -