Bayesian

Compared with Bayesian classification model, experimental results show SANBC has higher accuracy.

实验结果表明,与朴素贝叶斯分类模型相比,SANBC分类模型具有较高的分类正确率.

Tenenbaum, J . B . ( 2003 ) . Introduction to probability and Bayesian inference.

2003年 ), 《机率与贝氏推断的简介》.

Tactical Decision Method for BVR Air Combat Based on Rough Set Theory and Bayesian Network

基于粗糙集理论与贝叶斯网络的超视距空战战术决策

Wishart random matrix based Bayesian estimation for time-varying channel in the color noise

有色噪声下基于Wishart随机矩阵的贝叶斯时变信道估计

Bayesian Estimation of Time Series Model with Trend

时间序列趋势项的贝叶斯估计

The algorithms of assessment for threat level and relative importance are established based on Bayesian networks and fuzzy logic.

基于贝叶斯网络和模糊推理技术，实现了战场威胁级别及其相对重要性程度的综合评估。

For multiple-marker analysis , Xu ( Genetics, 2003, 163:789-801 ) developed a Bayesian shrinkage estimation ( BSE ) method.

对于前者, Xu ( Genetics, 2003, 163:789-801 ) 首先提出了Bayesian压缩估计方法.

Bayesian inference is a valid approach used in geophysical problems.

贝叶斯理论是一种应用在地球物理问题中的有效方法.

Confidence sought to approximate Bayesian lower failure probability obtained.

给定置信度求出贝叶斯近似下限,求出失效概率.

We study the gene regulatory network of yeast using Bayesian networks.

本篇论文主题在于利用贝氏网路探讨酵母菌基因调控网路的问题.

3) Among the divided steps in Bayesian inference, division was the most difficult, P (-H) and addition were less difficult and multiplication was the easiest.

3）贝叶斯推理中各分步骤的困难程度由低到高分别是：乘法、P（-H）、加法、除法。

Bayesian Compressed Sensing complete code can be used directly.

贝叶斯压缩传感完整的源代码可以直接使用.

Both of the models were trained by a ML ( maximum likelihood) algorithm for Bayesian network learning, then the testing DNA sequence data were feed into the model and a 10-fold cross validation method was used to evaluate the performance of prediction.

通过贝叶斯网络的最大似然学习算法求出模型参数后，利用10分组交互验证方法对测试数据进行剪接位点预测。

The general static Bayesian game model is established for bidding quotation.

建立了投标报价一般静态贝叶斯博弈模型.

At present the Bayesian networks is applied widely in each field.

摘要目前贝叶斯网络在各种领域得到了广泛的应用.

We discuss some questions on the Bayesian Dynamic Models in this article.

本文主要是对贝叶斯动态模型问题作了一点探讨.

This approach combines the control of extremities by gait parameters and non-deterministic reasoning ability of the Bayesian network.

这种方法结合了贝叶斯网络的非确定性推理能力和步态参数对肢体末端的控制。

The contents are as follows: ⒈ In the aspect about noise removal of ultrasound image, we present wavelet de-noising methods based on Bayesian estimation and semi-soft threshold image de-noising.

本文主要内容有：在医学超声图像噪声抑制方面：提出了基于贝叶斯估计的小波去噪方法和半软阈值小波图像去噪法。

Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.

贝叶斯统计理论: 阐述贝叶斯网络的数学原理 —— 贝叶斯统计.

Three experiments were conducted to explore the effects of question form, information structure, and assistant figure on the Bayesian inference.

通过三个实验分别考察问题形式（一步问题，两步问题）、信息结构（分割结构，未分割结构）和辅助图形表征（条形图、饼图、结构图）对解决贝叶斯推理问题的影响。

Bayesian network and Boolean network are powerful tools to genetic networks research.

布尔网络模型和贝叶斯网络模型都是研究基因调控网络的有力工具.

Recognition and achieves better performance than traditional Bayesian Classifier.

贝叶斯人脸识别方法更优的性能.

On the basis of detection parameters optimization and the defects classification, the radial basis function neural networks ( RBFNN) and the fuzzy Bayesian networks ( FBN) are used to evaluate the defects parameters quantitatively.

在检测参数优化与缺陷分类的基础上，研究采用径向基神经网络（RBFNN）以及模糊贝叶斯网络（FBN）对缺陷参数进行定量化评估的方法。

Bayesian procedure in time sequential sample plan of geometric distribution

几何分布时间序贯检验的贝叶斯推断

Decision tree, neural networks and Bayesian networks are the main tools of KDD.

决策树 、 神经网络、Bayesian网络等是当前知识发现的重要工具.

After the theory and inference mechanism of Bayesian networks was introduced, this paper mainly studies the application of Bayesian networks in emitter's threat level assessment.

以贝叶斯网络及其推理机制为基础，主要研究了贝叶斯网络在辐射源威胁等级评估方面的应用。

Algorithm of Firepower Threat Level Assessment Based on Bayesian Network

基于贝叶斯网络的火力威胁等级评估算法

The application of Bayesian feedback method to theophylline routine monitoring

Bayesian反馈法用于茶碱常规监测

The statistical Bayesian channel estimation was investigated in the CDMA TDD mode.

分析了CDMA时分模式下的统计贝叶斯信道估计.

Around three classic wavelet de-noising methods, lists the wavelet threshold noise reduction method of the deficiencies, expounds the bayesian noise reduction method.

围绕三种经典的小波降噪方法，列举了小波阈值降噪方法的不足之处，阐述了贝叶斯降噪方法。