AAAI Publications, The Thirtieth International Flairs Conference

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Feature Relevance in Bayesian Network Classifiers and Application to Image Event Recognition
Mohand Said Allili, Siham Bacha

Last modified: 2017-05-08

Abstract


An important problem in Bayesian networks classifiers (BNC) is to discover relevant variables that can achieve optimal classification performance. We propose a method based on Bayesian inference for estimating and incorporating feature relevance in classification using BNCs. We empirically validate our method on an application to event recognition in natural images using object and scene information.

Keywords


Bayesian networks classifiers, feature relavance, event recognition, images.

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