Abstract—A criterion based on mutual information among variables is proposed for building a bayesian tree from a finite number of examples. The factor graph, in Forney-style form, can be used as an associative memory that performs probabilistic inference in data fusion applications. The procedure is explained with the aid of a fully-described example.

Building a Bayesian factor tree from examples

MATTERA, DAVIDE
2010

Abstract

Abstract—A criterion based on mutual information among variables is proposed for building a bayesian tree from a finite number of examples. The factor graph, in Forney-style form, can be used as an associative memory that performs probabilistic inference in data fusion applications. The procedure is explained with the aid of a fully-described example.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/368660
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