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Jun, 2011
AIS-BN:用于大型贝叶斯网络证据推理的自适应重要性采样算法
AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks
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J. Cheng, M. J. Druzdzel
TL;DR
该论文提出了一种自适应重要性抽样算法(AIS-BN),其在极端条件下表现出有前途的收敛率且一致优于现有采样算法,在多个测试案例中达到了数量级的精度和速度改进。
Abstract
Stochastic sampling algorithms, while an attractive alternative to exact algorithms in very large
bayesian network models
, have been observed to perform poorly in
evidential reasoning
with extremely unlikely evid
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