Referenced Items are not available for this document.
Efficient combination of prior domain knowledge and examples are essential to classification. In this paper, a pragmatic methodology is suggested which uses prior domain knowledge formalised as a Bayesian network to enhance various steps in the process of the construction of a classifier. It is shown that the Bayesian network methodology is not only an alternative to the “black box approach” of classifier construction, but it provides a general supplementary tool
Published in:
Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
(Volume:4
)
Date of Conference: 31 Aug-4 Sep 1998
- Page(s):
- 2527 - 2531 vol.4
- Meeting Date :
- 31 Aug 1998-04 Sep 1998
- Print ISBN:
- 0-7803-4503-7
- INSPEC Accession Number:
- 6135704
- Conference Location :
- Aachen
- Digital Object Identifier :
- 10.1109/IECON.1998.724126
- Product Type:
- Conference Publications
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