Noise and knowledge acquisition

Authors:
Michel V. Manago;Yves Kodratoff
Affiliations:
Inference and Learning Group, Laboratoire De Recherche En Informatique, Universite de Paris-sud, Orsay Cedex, France;Inference and Learning Group, Laboratoire De Recherche En Informatique, Universite de Paris-sud, Orsay Cedex, France
Venue:
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Year:
1987

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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.