Comparison of Hard and Probabilistic Evidence in Bayesian Model

  • Rebai RimEmail author
  • Maalej Mohamed Amin
  • Mahfoudhi Adel
  • Abid Mohamed
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 557)


Bayesian networks are powerful tools for probabilistic reasoning with uncertain evidences. Evidence originates from information based on the variables of observation. In this paper, we focus on two types of evidences: hard evidence and probabilistic evidence. We were interested in updating an evidence represented by a Bayesian model. This paper presents the application of probabilistic evidence in an adaptive user interface. Then, we compare the Bayesian model using probabilistic evidence with the Bayesian model using hard evidence.


Bayesian networks Probabilistic evidence Adaptive user interface 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Rebai Rim
    • 1
    Email author
  • Maalej Mohamed Amin
    • 1
  • Mahfoudhi Adel
    • 1
  • Abid Mohamed
    • 1
  1. 1.ENIS, Embedded Computer System LabUniversity of SfaxSfaxTunisia

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