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AI
2006
Springer
13 years 8 months ago
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
Y. Xiang, N. Jia
FLAIRS
2010
13 years 7 months ago
Generalized Non-impeding Noisy-AND Trees
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs assessed for each node. Its complexity is generally expon...
Yang Xiang
AI
2009
Springer
13 years 9 months ago
Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs to be assessed for each node. It generally has the comple...
Yang Xiang, Zoe Jingyu Zhu, Yu Li