Probabilistic Inferences in Bayesian Networks

@article{Ding2010ProbabilisticII,
  title={Probabilistic Inferences in Bayesian Networks},
  author={Jianguo Ding},
  journal={CoRR},
  year={2010},
  volume={abs/1011.0935}
}
Bayesian network is a complete model for the variables and their relationships, it can be used to answer probabilistic queries about them. A Bayesian network can thus be considered a mechanism for automatically applying Bayes’ theorem to complex problems. In the application of Bayesian networks, most of the work is related to probabilistic inferences. Any variable updating in any node of Bayesian networks might result in the evidence propagation across the Bayesian networks. This paper sums up… CONTINUE READING

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