Exploring Bayesian Belief Networks Using Netica®

  • Zhifang Ni
  • Lawrence D. Phillips
  • George B. Hanna


Bayesian belief networks (BBNs) are graphical tools for reasoning with uncertainties (see Chap. 7). They can be used to combine expert knowledge with hard data and making sense of uncertain evidence. The computation of Bayesian inference is complex. In this chapter, we provide a step-to-step guide of how to construct and use Bayesian networks by using Netica software.


Mutual Information Bayesian Network Target Node Uncertain Variable Bayesian Belief Network 
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Copyright information

© Springer London 2011

Authors and Affiliations

  • Zhifang Ni
    • 1
  • Lawrence D. Phillips
  • George B. Hanna
  1. 1.Department of Surgery and CancerImperial College LondonLondonUK

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