Inference Bayesian Network for Multi-topographic neural network communication: a case study in documentary data
Identifieur interne : 006F83 ( Main/Exploration ); précédent : 006F82; suivant : 006F84Inference Bayesian Network for Multi-topographic neural network communication: a case study in documentary data
Auteurs : Shadi Al Shehabi [France] ; Jean-Charles Lamirel [France]Source :
Descripteurs français
Abstract
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.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Centre national de la recherche scientifique, Cortex (Loria), Institut national de recherche en informatique et en automatique, Institut national polytechnique de Lorraine, Laboratoire lorrain de recherche en informatique et ses applications, Université Nancy 2, Université de Lorraine
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Le document en format XML
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<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="team" n="7">Cortex (Loria)</orgName>
<orgName type="lab">Laboratoire lorrain de recherche en informatique et ses applications</orgName>
<orgName type="university">Université de Lorraine</orgName>
<orgName type="EPST">Centre national de la recherche scientifique</orgName>
<orgName type="EPST">Institut national de recherche en informatique et en automatique</orgName>
</affiliation>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>bayesian network</term>
<term>multiview</term>
<term>multivue</term>
<term>méthode neuronale</term>
<term>neural method</term>
<term>réseau bayésien</term>
</keywords>
</textClass>
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<front><div type="abstract" xml:lang="en">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.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement><li>Nancy</li>
</settlement>
<orgName><li>Centre national de la recherche scientifique</li>
<li>Cortex (Loria)</li>
<li>Institut national de recherche en informatique et en automatique</li>
<li>Institut national polytechnique de Lorraine</li>
<li>Laboratoire lorrain de recherche en informatique et ses applications</li>
<li>Université Nancy 2</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><region name="Grand Est"><name sortKey="Al Shehabi, Shadi" sort="Al Shehabi, Shadi" uniqKey="Al Shehabi S" first="Shadi" last="Al Shehabi">Shadi Al Shehabi</name>
</region>
<name sortKey="Lamirel, Jean Charles" sort="Lamirel, Jean Charles" uniqKey="Lamirel J" first="Jean-Charles" last="Lamirel">Jean-Charles Lamirel</name>
</country>
</tree>
</affiliations>
</record>
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