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Synthesis and Learning of Socially Significant Behavior Model with Hidden Variables

  • Aleksandra V. Toropova
  • Tatiana V. Tulupyeva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 875)

Abstract

Socially significant behavior model with hidden variables is suggested as means for processing unreliable data. Two models with hidden variables are considered: the one with synthesized structure and the other with structure defined expertly. Both models are learned using automatically generated set of data. The models are compared with each other and with the original socially significant behavior model.

Keywords

Bayesian belief network BBN Bayesian belief network with hidden variables Socially significant behavior model 

Notes

Acknowledgments

The research was carried out in the framework of the project on state assignment SPIIRAS No. № 0073-2018-0001, with the financial support of the RFBR (project №18-01-00626).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Aleksandra V. Toropova
    • 1
    • 2
  • Tatiana V. Tulupyeva
    • 1
    • 2
  1. 1.St. Petersburg Institute for Informatics and Automation of RASSt. PetersburgRussia
  2. 2.St. Petersburg State UniversitySt. PetersburgRussia

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