Bayes Rule

Voice and Voiceband Data Discrimination Based on Bayes Rule

基于贝叶斯准则的话音与话带数据识别

The Bayes rule for minimum error and supervised parameter estimation for Gaussian mixture are used to solve the problem of threshold selection and get a good experimental result .

对于特征差值图像阈值选取问题，则采用基于最小错误率的贝叶斯准则结合正态分布的监督参数估计进行处理，在实践中获得了较好的效果；

A unified frame of the certainty theory and the Subjective Bayes rule

确定性理论及主观Bayes方法的一个统一框架

An Asymptotic Optimal Empirical Bayes Rule for Selecting Good Multinomial Population in Technology

最好多项母体的渐近最优经验贝叶斯选择规则

Signal 's Recovery via Adaptive Gabor Coefficients Shrinking with Bayes Rule

基于Bayes准则自适应Gabor系数缩减的信号恢复

A new terrain-aided navigation ( TAN ) approach using Bayes rule has been proposed .

提出并建立了一种基于贝叶斯方法的地形辅助导航（TAN）模型，推导了模型公式。

The speech recognition model based on Bayes rule is involved in expressing and using properly knowledge of both acoustic layer and language one .

基于Bayes原理的语音识别模型涉及声学层和语言层知识的适当表示和运用。

They are pixels-based weight fusion , feature fusion based on wavelet transform and separate classes fusion based on Bayes rule .

该文论述了多源遥感影像以像元为基础的加权融合、基于小波理论的特征融合和基于贝依斯法则的分类融合理论和方法。

The probability density distribution for total workload of infinite software development persons was also discussed by using normal school function , and the risk model based on Bayes rule was come up with .

利用正态分布函数讨论了n个软件开发人员总工作量的概率密度分布，在此基础上建立了基于贝叶斯规则的风险模型；

The Bayes Rule based algorithm has the characteristics of high speed , good real-time performance , and high precision . The Particle Filter based algorithm has a higher precision , but a bad real-time performance .

基于贝叶斯规则的定位方法速度快，实时性好，定位精度较高；基于粒子滤波的定位方法实时性较差，但是定位精度更高。

Through constructing a two-phase game model under asymmetric information structure , using the Bayes rule , the dynamic changes in regulator 's reputation and underwriter 's reputation and their correlation are researched .

作者通过构建不对称信息结构下的两阶段博弈模型，应用Bayes法则对证券监管者声誉和承销商声誉的动态化以及二者声誉变动的关联性进行了研究。

In this algorithm according to minimum cost Bayes rule we acquire a threshold of moving object segmentation through human-participant learning and apply this threshold to moving object detection in posterior images .

该算法针对获取检测门限的困难和随意性，通过人工参与学习，依据最小代价贝叶斯判别准则，求出一个运动区域分割门限，并将这个门限用于后续图像中运动区域的检测。

By using the Bayes rule and combining the information of the average performance of the component systems , a new relation degree formula was deduced and the problems on relational degree standardization and equilibrium were solved .

利用贝叶斯规则，结合各组成系统平均执行性能的信息，推导出一种新的相关度计算公式，较好地解决了结果融合中相关度规范化和均衡化的问题。

Making full use of the power of combining infrared imaging with optical flow model , we propose a moving object pre-detection algorithm based on supervised learning , image pair difference significance test and minimum cost Bayes rule .

我们充分结合红外序列图像和光流场模型的优点，提出一种有监督学习的基于帧间图像差异显著性检验和最小代价贝叶斯判别准则的运动目标检测算法。

When farmers due to the limited rationality and lack of information can not be obtained posterior probability through the Bayes rule , the contract is crucial basis of forming consistency faith in the non-equilibrium path .

当参与农户由于有限理性和信息缺乏，无法通过贝叶斯法则得出后验概率的时候，契约是非均衡路径上形成信念一致性的关键因素。

In the supervised classification , the election and passivation of the AOI and confirmation of the prior probability are described , and the principle of the maximum likelihood classification based on Bayes rule in the paper is introduced .

在监督分类中，对训练区（AOI区域）的选择、钝化及先验概率的确定作了描述，并介绍了本文中采用的建立在贝叶斯（Bayes）准则基础上的最大似然分类法的原理。

Using Bayes rule and covariance prediction and updating matrices in Kalman equations , we can solve information gain in a measurement in the process of detection and tracking , and present an algorithm of sensor management based on maximization of information gain .

利用Bayes规则和Kalman滤波方程中的协方差预测和更新阵，可以求出目标检测与跟踪过程中一次量测所产生的信息增量，并由此给出了一种基于信息增量最大化的传感器管理算法。

By analyzing the existing multi-agent system of construction claim negotiation based on Bayes Rule and pointing out some insufficient aspects of that system , this paper puts forward a multi-agent model of construction claim negotiation based on genetic algorithm ( GA-Agents ) .

分析了已有基于贝叶斯学习规则的索赔谈判多agent系统，针对该系统的一些不足，提出基于遗传算法的多agent（以下称为GA-Agents）工程索赔谈判模型。

The formula is based on the Bayes rule and the ( assumption ), that the signal and noise are stationary random processes . The optimal estimation of original image is determined from the acquired image data while the conditional probability is maximized .

此公式的基本假设是将图像和噪声看成为平稳随机过程，从Bayes公式出发，求条件概率的最大值，对应找出原始图像的最佳估计值作为复原图像。

Aiming to improve the stability of localization , the probability model for recognition scope of RFID antenna is built , and then the Bayes Rule and Particle Filter algorithm are introduced to locate the target using the probability model of RFID antenna and the pose of robot .

为了提高RFID定位的稳定性，建立了RFID天线识别范围概率模型，提出了基于天线识别范围概率模型和机器人本体位姿的贝叶斯规则和粒子滤波定位方法。

Secondly , based on the uncertainty of unexpected events and dynamic features , using Bayes rule to amends to a priori probability for dynamic decision-making methods respectively , using Bayes rule constantly dynamic correction phase of the results according to the information available and the changes in adjusting tactics .

其次，基于突发事件的不确定性及动态特性，分别利用贝叶斯法则修正先验概率进行动态决策的方法，利用贝叶斯动态修正法则不断地根据阶段结果和所掌握的信息变化调整策略。

There are two sources of information Bayes ' rule tells you .

根据贝叶斯的理论你现在有两个信息源。

And what Bayes ' rule says is , given my beliefs , the action should in some sense be optimal .

贝叶斯法则说的是，基于置信值动作应该在某种意义上是最优的。

Based on the studies above , a novel method is given , which is based on color co-occurrence and Bayes decision rule , to detect foreground objects . 3 .

基于上述研究，给出了一种基于颜色共生性的，用贝叶斯决策准则从复杂的含有不固定目标的视频图像中检测前景目标的方法。

With Bayes ' rule , the venture investor can correct his belief in the state of the project , then decides whether or not to continue his investment .

鉴于此，风险投资家在投资契约中，可采用贝叶斯估计的方法，对风险项目状态进行事后修正，并根据修正后的状态决定是否继续投资，从而达到风险控制的目的。

Based on probability statistic theory and Bayes classification rule , probabilistic neural network model was proposed and was applied to classify the producing areas of the fluecured tobaccos .

利用基于统计思想和Bayes分类规则的概率神经网络的基本网络模型预测烤烟产地。

The misclassification probability of the nearest neighbor decision rule won 't exceed 2 times of that of Bayes decision rule when the sample number is very large .

最近邻准则是一种次最优准则，当样本数目很大时，最近邻准则的错误率不会超过贝叶斯错误概率的2倍。

Bayes ' rule is utilized to estimate the probability that an occupancy grid being occupied and to deal with sonar information which highly overcomes the uncertainty .

将Bayes法则应用于栅格概率估计和声纳信息处理过程中，有效的克服了声纳传感器的不确定性，实现了从局部地图到全局地图的更新。

Rough sets and other data reasoning In this paper , the relationships between rough sets and probability logic , Bayes ' rule , Dempster-Shafer evidence theory , modal logic are discussed respectively .

■Rough集与其它数据推理讨论Rough集与概率逻辑，贝叶塞规则，证据理论和模态逻辑的关系，指出它们之间存在的一致性。

In this paper a multimodel-based method of adaptive forecasting is presented - The whole adaptive system consists of several multistep self-tuning predictors working in parallel . The final forecast is determined by using Bayes decision rule .

本文提出一种多模型自适应预报方法，预报系统由几个并行的多步预报器组成，最终预报由Bayes决策律决定。