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2011 Volume 26
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RESEARCH ARTICLE   Open Access    

Learning Bayesian networks: approaches and issues

  • 1.

    School of Computing Science

  • 2.

    Department of Computer Science

  • 3.

    School of Informatics

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  • Corresponding authors: Rónán Daly ;  Qiang Shen ;  Stuart Aitken
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RESEARCH ARTICLE   Open Access    

Learning Bayesian networks: approaches and issues

  • 1.

    School of Computing Science

  • 2.

    Department of Computer Science

  • 3.

    School of Informatics

  • Corresponding authors: Rónán Daly ;  Qiang Shen ;  Stuart Aitken
  • Published online: 12 May 2011
The Knowledge Engineering Review  26,  Article number: 10.1017/S0269888910000251  (2011)  |  Cite this article

Abstract: Abstract: Bayesian networks have become a widely used method in the modelling of uncertain knowledge. Owing to the difficulty domain experts have in specifying them, techniques that learn Bayesian networks from data have become indispensable. Recently, however, there have been many important new developments in this field. This work takes a broad look at the literature on learning Bayesian networks—in particular their structure—from data. Specific topics are not focused on in detail, but it is hoped that all the major fields in the area are covered. This article is not intended to be a tutorial—for this, there are many books on the topic, which will be presented. However, an effort has been made to locate all the relevant publications, so that this paper can be used as a ready reference to find the works on particular sub-topics.

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    Acknowledgments

    • Qiang Shen’s contribution to this work is partly supported by EPSRC EP/D057086. Stuart Aitken is funded by BBSRC grant BB/F015976/1, and by the Centre for Systems Biology at Edinburgh, a Centre for Integrative Systems Biology (CISB) funded by BBSRC and EPSRC, reference BB/D019621/1.

    • The name K2 is derived from the Kutató system that preceded it.

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    Rónán Daly, Qiang Shen, Stuart Aitken. 2011. Learning Bayesian networks: approaches and issues. The Knowledge Engineering Review. 26:251 doi: 10.1017/S0269888910000251
    Rónán Daly, Qiang Shen, Stuart Aitken. 2011. Learning Bayesian networks: approaches and issues. The Knowledge Engineering Review. 26:251 doi: 10.1017/S0269888910000251
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