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2004
Technical report TR04-22. Model selection problem in Bayesian belief network (BN) structure learning is a classicial problem in the BN literature. To do model selection in BN structure learning, we need a evaluation score and a searching procedure. The generative criteria, AIC, BIC and BDe, are...
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Quantifying the Uncertainty of a Belief Net Response: Bayesian Error-Bars for Belief Net Inference
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Van Allen, Tim, Greiner, Russell, Singh, Ajit, Hooper, Peter
Technical report TR07-11. A Bayesian belief network models a joint distribution over variables using a DAG to represent variable dependencies and network parameters to represent the conditional probability of each variable given an assignment to its immediate parents. Existing algorithms assume...