This paper reviews and formalizes algorithms for probabilistic inferences upon causal probabilistic networks (CPN), also known as Bayesian networks, and introduces Probanet-a development environment for CPNs. Information fusion in CPNs is realized through updating joint probabilities of the variable
Backward Inference in Bayesian Networks for Distributed Systems Management
✍ Scribed by Jianguo Ding; Bernd Krämer; Yingcai Bai; Hansheng Chen
- Publisher
- Springer US
- Year
- 2005
- Tongue
- English
- Weight
- 493 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1064-7570
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