贝叶斯网络以统计学为基础，是数据挖掘技术的一种方法。
On the base of statistics, the bayes network is a method of data mining.
特别是在当前数据较少或者较难获得的情况下，贝叶斯网络的这一优点更加明显。
Especially when the current data are scarce or hard to obtain, the advantage of the bayes network is evident.
为了解决该方法存在的训练数据集问题，本文改进了现有的贝叶斯分类算法，提出了利用未标记数据提高贝叶斯分类器性能的方法。
In order to solve the problem existing in training data sets, present Bayes algorithm is im - proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.
根据统计分析和贝叶斯估计结果，建议了强度等级为C20和C30再生混凝土抗压强度的标准值与标准差的取值。
Based on the results of Bayes estimations, the standard deviations for the compressive strength of RAC with strength grades of C20 and C30 were proposed.
贝叶斯分类模型是入侵检测中用于攻击类型分类的有力工具。
Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
贝叶斯正则化方法提高BP神经网络的泛化能力。
Bayes' regularization raises the ability to extend of BP neural network.
一个简单的机器学习算法，朴素贝叶斯算法可以把正规邮件从垃圾邮件里面分离出来。
A simple machine learning algorithm called naive Bayes can separate legitimate email from spam email.
结果显示不等式限制条件下的最小二乘平差的传统解实际上是基于后验分布模式下的贝叶斯解，而且从方差最小的意义上来讲它不是最优解。
The results show that traditional solution of LSI is actually a Bayes solution based on the mode of the posterior distribution and that it is not the best solution in the sense of variance minimizing.
在利用贝叶斯方法制定可靠性试验方案过程中，通常会用到经典风险、相对风险和验后风险来权衡试验方案。
Classical risk, relative risk and after-test risk are usually used to measure test project in the course of making test project of reliability based on Bayes.
针对模式分类中高置信度的先验概率分布难以设定的问题，提出了一种新的应用贝叶斯分析进行模式分类的方法。
To overcome the hardship of enacting the pre-probability distribution with high certainty factor, this paper proposes one novel way of applying Bayes analysis to classify pattern.
对全概率公式和贝叶斯公式，探讨了寻找完备事件组的两个常用方法。
This paper discusses two methods of complete event group for complete probability formular and Bayes formular.
贝叶斯方法的特点是使用概率去表示所有形式的不确定性，学习或其他形式的推理都用概率规则来实现。
The characteristic of the Bayes method is to use probability to express the uncertainty of all forms, learning and the reasoning of other forms are all realized with the rule of probability.
通过假设预测方位和实测方位差值服从零均值的高斯分布，利用贝叶斯理论来修正各滤波器的权重。
And the weight of each filter is updated using Bayes theory based on the assumption that the difference between estimate and measurement bearings obeys Gaussian distributions with zero mean error.
用图论的观点理解概率论中的乘法公式、全概率公式、贝叶斯公式，有效地解决了某些复杂的概率问题。
From the perspective of graph theory, understands multiplication formula, full probability formula, Bayes formula effectively solves some complicated probability problems.
其次，分析了人工免疫系统和贝叶斯网络的基本原理。
Secondly, the paper analyses the basic principle AIS and Bayes network.
在该协商模型的基础上引入贝叶斯学习机制，并分别对更新信念、生成提议等协商过程作了详细阐述。
We embed Bayes learning mechanism on the basis of the negotiation model, and elaborate process descriptions of evaluating offers, belief revision and proposing counter-offers are presented.
本文采用贝叶斯规则化的训练方法，训练好的BP网络较常用的训练方法具有更好的精度和泛化能力。
The paper used the Bayes regularization algorithm to train the BP network, the precision and generalization of which are better than the network that uses ordinary training algorithms.
研究了人脸检测的贝叶斯特征判别法，该方法包括三个部分：原始图像的特征判别分析、人脸区和其它区的统计建模以及贝叶斯分类器。
The main idea of which consists of three parts: the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes classifier for face detection.
为实现电缆故障定位系统的参数估计，提出了一种用于模型参数估计的改进贝叶斯算法。
In order to implement the parameter estimate in cable fault location system, an improved Bayes algorithm used for Model parameter estimate is proposed in this paper.
用基于贝叶斯法和经典法数据综合方法将分系统的试验数据转为系统试验数据。
The subsystem test data are transformed into the system test data using the data synthesizing method based on the Bayes method and the classical method.
提出了一种贝叶斯估计和尺度空间滤波相结合的滤波方法。
This paper proposes a method of denoising by the use of jointing Bayes estimation and scale space filtering.
采用线性战略组合，解出了该贝叶斯博弈的均衡解，并且定义了配电商的成本和电能消费者的收益。
This paper interprets the balanced results of Bayes game with linear strategy, and gives out the definitions of electricity utility cost and electricity customers profit.
本文利用改进的K -均值算法对缺失数据进行处理，提高了朴素贝叶斯分类的精确度。
This paper USES the improved K-means (IKM) algorithm to process the missing data and thus improve the precision of the Naive Bayes classifier.
首先阐明了极小子样高可靠性成败型产品试验评估的重大意义及通常用贝叶斯法解决该问题时所遇到的困难。
The importance of Bayes , estimation for extreme small sample, high reliability, safe or failure pattern is explained in this paper, the difficulty in solving these facts is involved.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
在贝叶斯统计学中，贝叶斯因子是进行模型选择的主要工具。
Bayes factor is the major tool for model selection in Bayesian Statistics.
提出并实现了一个基于贝叶斯的冬态树木自动分类的系统。
In the paper it puts forward and implements a hibernal tree automatic classification system based on Bayes.
为评价某舰炮发射过程中击发装置的可靠度，本文应用了贝叶斯方法。
The Bayes method is applied in this paper to evaluating the reliability of the percussion mechanism of certain naval ordnance in shooting.
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。
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。
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.
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