Pathfinder系统中割集条件化与桉树繁殖的结合
A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System
摘要：
割集条件化和二叉树传播是贝叶斯信念网络中两种常用的精确概率推理方法。割集条件是基于网络节点子集的分解，而割树传播依赖于节点的聚集。我们描述了一种手段，结合割集条件和团树传播的方法称为聚合后分解（AD）。我们讨论了AD方法在Pathfinder系统中的应用，Pathfinder系统是一个医学专家系统，可为血液病理学诊断提供帮助。
英文摘要：
Cutset conditioning and clique-tree propagation are two popular methods for performing exact probabilistic inference in Bayesian belief networks. Cutset conditioning is based on decomposition of a subset of network nodes, whereas clique-tree propagation depends on aggregation of nodes. We describe a means to combine cutset conditioning and clique- tree propagation in an approach called aggregation after decomposition (AD). We discuss the application of the AD method in the Pathfinder system, a medical expert system that offers assistance with diagnosis in hematopathology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
