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Construction of a classifier with prior domain knowledge formalised as Bayesian network

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1 Author(s)
Antal, P. ; Dept. of Meas. & Inf. Syst., Tech. Univ. Budapest, Hungary

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