A Bayesian network serves as a model for a part of the world, and the relations in the model reflect causal impact between events. The reason for building these computer models is to use them when taking decisions. In other words, the probabilities provided by the network are used to support some kind of decision making. In principle, there are two kinds of decisions, namely test decisions and action decisions.


Decision Tree Bayesian Network Expected Profit Repair Action Decision Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Finn V. Jensen
    • 1
  1. 1.Department of Computer SciencesAalborg UniversityAalborg ØDenmark

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