2) probabilistic inference network

概率推断网
1.
In order to solve the problem of making decision during mine countermeasures, using Bayesian inference method, fuzzy logic and uncertainty reasoning method based on confidence, the article designs a probabilistic inference network as an expert system for mine warfare.
针对反水雷作战决策的需要,运用贝叶斯推理、模糊逻辑以及可信度不确定推理方法,设计了一个基于概率推断网的水雷战专家系统。
3) probability inference

概率推理
1.
Temporal Bayesian network and probability inference;

时间贝叶斯网络及其概率推理
4) probabilistic reasoning

概率推理
1.
A brief introduction and analysis are presented about some traditional intention recognition techniques,including the techniques based on logic reasoning and probabilistic reasoning.
简要介绍并分析了几种常用的意图识别技术,包括基于逻辑的意图识别技术和基于概率推理的意图识别技术。
5) probability reasoning

概率推理
1.
The new fault diagnosis model is based on the fuzzy theory,probability reasoning and parsimonious covering theory.
为克服现有专家系统人工神经网络和模糊数学等诸多不足,基于前人对变压器故障诊断理论的研究,综合考虑变压器电气试验、油中溶解气体检测分析及观测信息,并引入模糊数学、概率推理和节约覆盖集理论,建立了一个新的变压器故障综合诊断模型。
2.
The authors firstly outline BBN and probability reasoning, then propose and implement our intelligent tutoring system that uses BBN as student models, and emphasize the structure and functions and probability reasoning algorithm of student models.
对贝叶斯网及其概率推理进行了简述,提出并实现了一种以贝叶斯网为学生模型的智能教学系统,并重点介绍了学生模型的结构、功能和概率推理算法。
3.
The uncertainty reasoning especially the probability reasoning was imported into the slope geological hazard zonation.
通过对不确定性推理方法尤其是概率推理方法的研究,将其引入到斜坡类地质灾害危险性区划之中。
6) probabilistic inference

概率推理
1.
A valuation-algebras model on probabilistic inference in BN is put forward, which includes four processes, namely, inference structure transformation, valuating initialization, consistency message propagation and absorption, and local computation of probabilistic inference.
在Shenoy-Shafer赋值代数公理基础上,定义了贝叶斯网(Bayesian network,BN)推理结构上的赋值代数;提出BN上概率推理的赋值代数模型,该模型包括推理结构转变、赋值初始化、一致性消息全局传播与吸收以及概率推理的局部计算四个环节,建立了相应的算法以及联合概率与条件概率的计算方法;最后通过例子说明文章所提出的方法。
2.
In this paper a method for setting attribute weights based on probabilistic inference for using with Nave Bayes is presented.
为了克服该问题,提出了一种基于概率推理的加权朴素贝叶斯分类模型。
补充资料:抽样推断
抽样推断是在随机抽样基础上推论有关总体的情况,即用样本对从中抽取样本的那个总体的数量特征作出具有一定可靠程度的估计和判断。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条