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Inference apparatus, reasoning method, and inference program

机译:推理装置,推理方法和推理程序

摘要

PROBLEM TO BE SOLVED: To provide an inference device capable of obtaining a concrete inference value in the case where there is a node for which a continuous random variable is discretized and is determined as a state, when executing inference using the node as an inference node.;SOLUTION: An inference device 100 uses a probability model of a Bayesian network to infer a non-observed node that represents an event, for which a continuous value is observed, by a random variable in a discrete state from an observation node which has obtained an observed value. The device 100 comprises: an input section 40 for inputting the observed value of the observation node; a posterior probability calculation section 31 for obtaining posterior possibility distribution of the non-observed node, based on the observed value of the observation node input by the input section 40; a restoration section 32 for obtaining an inference value of the non-observed node, based on the posterior probability distribution; and an output section 50 for outputting the inference value obtained at the restoration section 32.;COPYRIGHT: (C)2013,JPO&INPIT
机译:解决的问题:提供一种推理设备,当使用节点作为推理节点执行推理时,该推理设备在存在离散连续随机变量并将其确定为状态的节点的情况下,能够获得具体的推理值。解决方案:推理设备100使用贝叶斯网络的概率模型,通过离散状态的随机变量,从具有以下特征的观测节点中,推断出代表观测到连续值的事件的非观测节点:获得了一个观测值。装置100包括:输入部分40,用于输入观察节点的观察值;以及后验概率计算部分31,用于基于由输入部分40输入的观察节点的观察值,获得未观察节点的后验可能性分布;恢复部分32,用于基于后验概率分布获得未观察节点的推断值; ;以及输出部分50,用于输出在恢复部分32处获得的推断值。

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