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Communication Dans Un Congrès Année : 2004

Inference Bayesian Network for Multi-topographic neural network communication: a case study in documentary data

Shadi Al Shehabi
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Jean-Charles Lamirel

Résumé

In this paper we present an original approach consisting in assimilating the behavior of the MultiSOM model, whose core model represents a significant extension of the classical Kohonen SOM model, to the one model of a Bayesian inference network. This approach is used both for validating the MultiSOM inter-map communication principles and for enhancing the accuracy of the probabilistic correlation computation mode that is already provided by the model In a complementary way, our approach also led us to prove that a neural multi-map 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.

Domaines

Autre [cs.OH]
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Dates et versions

inria-00099927 , version 1 (26-09-2006)

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  • HAL Id : inria-00099927 , version 1

Citer

Shadi Al Shehabi, Jean-Charles Lamirel. Inference Bayesian Network for Multi-topographic neural network communication: a case study in documentary data. International Conference on Information and Communication Technologies: from Theory to Applications - ICTTA 2004, 2004, Damascus, Syria, 6 p. ⟨inria-00099927⟩
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