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Inference Bayesian network for multitopographic neural network communication: a case study in documentary data

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2 Author(s)
Shehabi, S.A. ; LORIA, Nancy, France ; Lamirel, J.

This paper presents an original approach consisting in assimilating the behavior of the MultiSOM model to the one of a Bayesian inference network in documentary data. This approach is used both for validating the MultiSOM intermap communication principles and for enhancing the accuracy of the probabilistic correlation computation mode. In a complementary way, the approach also led to prove that a neural multimap model provided with unsupervised learning might well behave as a Bayesian inference network in which the estimation of posterior probabilities becomes a simple process only using prior similarity measures. A performance comparison between former probabilistic intercommunication mode and new probabilistic intercommunication mode based on Bayesian inference is finally proposed in the paper.

Published in:

Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on

Date of Conference:

19-23 April 2004