Solving Probabilistic Networks

Part of the Information Science and Statistics book series (ISS)

We build knowledge bases in order to formulate our knowledge about a certain problem domain in a structured way. The purpose of the knowledge base is to support our reasoning about events and decisions in a domain with inherent uncertainty. The fundamental idea of solving a probabilistic network is to exploit the structure of the knowledge base to reason efficiently about the events and decisions of the domain taking the inherent uncertainty into account.


Bayesian Network Joint Probability Distribution Probabilistic Inference Bayesian Network Model Junction Tree 
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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