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In this chapter we introduce data-driven modeling as the task of inducing a Bayesian network by fusion of (observed) data and domain expert knowledge.

Keywords

Bayesian Network Conditional Independence Path Condition Conditional Probability Distribution Independence Relation 
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, LLC 2008

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