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Automated entry of conditional probability data for a decision support apparatus that uses a Bayesian belief network

机译:使用贝叶斯信念网络的决策支持设备的条件概率数据的自动输入

摘要

A computer implemented method for filling in conditional probability data in a Bayesian Belief network based decision support apparatus is provided. The conditional probability data defines conditional probabilities of states of a particular network node as a function of vectors of state values of a set of parent nodes of the particular network node in the Bayesian Belief network. The computer implemented method comprising receiving conditional probability data defining the conditional probabilities for a subset of all possible vectors of combinations of state values of the set of parent nodes and interpolating conditional probability data defining the conditional probabilities for further possible vectors of state values of the set of parent nodes from the elicited conditional probability data.
机译:提供了一种用于在基于贝叶斯信任网络的决策支持装置中填充条件概率数据的计算机实现的方法。条件概率数据将特定网络节点的状态的条件概率定义为贝叶斯信任网络中特定网络节点的父节点集的状态值向量的函数。该计算机实现的方法包括:接收条件概率数据,该条件概率数据定义针对父节点集合的状态值的组合的所有可能矢量的子集的条件概率;以及内插定义该条件的概率条件数据,该条件概率数据用于该集合的状态值的其他可能矢量从条件概率数据中获取父节点的数据。

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