概率推理

基于概率推理的Ad-hoc网络路径选择算法

Ad-hoc Networks Routing Selection Algorithm Based on Probabilistic Reasoning

加强概率推理模型在人脸识别中的应用

Boosting Probabilistic Reasoning Model for Face Recognition

基于赋值代数的BN概率推理的局部计算模型

Valuation Algebras-based Local Computing Model for Bayesian Network Probabilistic Inference

最后，本文通过实际的案例&电脑拆卸来证实将Petri网和贝叶斯概率推理应用到动态业务流程优化中的可行性。

Finally , the paper confirms the feasibility of applying Petri net and Bayesian inference to the dynamic optimization of business processes through actual case-PC Demolition .

PPJT算法为实现一般复杂网络中的概率推理提供了一种新的理论工具。

PPJT provides a new theoretic tool for implementation of probabilistic inference in the common com-plicated network .

MontyHallDilemma（MHD）作为一个经典的概率推理难题，自提出以来就受到研究者们的极大关注，心理学对MHD问题的研究可称为是推理心理学的新的热点之一。

Monty Hall Dilemma ( MHD ) is a classical example of probability reasoning . Since this extremely hard problem was proposed , it has drawn more and more psychologists ' attention . The MHD is one of the new hot topics in the reasoning psychology .

外延空间与内函空间&概率推理的理论基础

Extension Space and Intension Space : Theoretical Base of Probable Inference

基于概率推理模型的博客倾向性检索研究

Research on Blog Opinion Retrieval Based on Probabilistic Inference Model

贝叶斯网及其概率推理在智能教学中的应用

Application of Bayesian Network and its Probability Reasoning to Intelligent Tutoring System

基于概率推理和决策树的教学系统的设计与实现

Design and implementation of tutoring system based on probabilistic inference and decision tree

在进度贝叶斯网络的研究中，给出了软件项目进度风险的建模方法、模型中的相关计算以及概率推理算法。

While , study the Scheduling Bayesian network to model software project scheduling risk .

集成节约覆盖模型与概率推理的新方法

A New Approach to Integrating the . Parsimonious Covering Model and the Probabilistic Inference

时间贝叶斯网络及其概率推理

Temporal Bayesian network and probability inference

大学生在概率推理、赌徒推理和风险决策时存在显著的性别差异。

Male and female students demonstrate differences in probabilistic reasoning , gambler reasoning and risk decisions ;

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。

The uncertainty reasoning especially the probability reasoning was imported into the slope geological hazard zonation .

所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。

The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences .

本文讨论了影响图理论在概率推理过程中的应用和要涉及的信息及信息量。

The paper discusses the applications of influence diagrams to probabilistic inference , and information with the inference .

将模糊数学、概率推理和节约覆盖集理论引入到汽车故障诊断中，建立了一个新的汽车故障综合诊断模型。

The new auto malfunction diagnosis model is based on the fuzzy theory , probability reasoning and parsimonious covering theory .

该文就是基于这个思想提出了新的人脸识别算法，即加强概率推理模型。

This paper proposes a new algorithm to boost performance of probabilistic reasoning model ( PRM ) face recognition methods .

本文引进了外延空间与内函空间，建立了概率推理的理论基础。

In this paper , extension space and intension space are introduced and theoretical base of probable inference is given .

贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。

Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool .

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。

In this paper a method for setting attribute weights based on probabilistic inference for using with Nave Bayes is presented .

该文简单地介绍了信息过滤中常用的三种模型：向量空间模型、布尔逻辑模型和概率推理模型；

This paper introduces simply three models of information filtering : space vector model , boolean logical model , probabilistic inferential model .

本文利用不确定推理中的概率推理方法，设计了购买决策树回溯推理的模型和算法，有效解决了这一问题。

Using uncertain reasoning , a reasoning model and an algorithm are presented , which give the answer to this problem effectively .

变分推理应用变分迭代计算出随机变量的近似期望值，是现代人工智能学科一种重要的近似概率推理方法。

Variational inference is an important deterministic approximate inference method , which computes the approximate expectation of random variables through variational iterations .

作为一种知识表示和进行概率推理的框架，贝叶斯网络在具有内在不确定性的推理和决策问题中得到了广泛的应用。

As a knowledge representation framework and a kind of probability inference engine , Bayesian networks are widely used in reasoning and decision-making .

贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。

Bayesian network as , a very useful tool in data mining , can provide qualitative and quantitative relationship between attributes and probability inference .

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。

A brief introduction and analysis are presented about some traditional intention recognition techniques , including the techniques based on logic reasoning and probabilistic reasoning .

提出复合嵌套概率推理网络等多种知识表达方式、故障知识的自动识别处理及多推理方式并存的推理机制等系统特点。

The varied knowledge expressions , such as the compound belief networks , the automatic identifying fault knowledge and multiple inference pattern , are also put forward .

这一课题的研究对于探讨概率推理的认知心理规律和指导人们概率思维、判断与决策具有重要的理论意义和现实意义。

The studies of the project have implications to explore cognitive psychological rules of probability inference and direct probability thinking , judgement , decision making and learning .