We construct the privacy preserving Naive Bayesian Classifier.
构造了保持隐私的朴素贝叶斯分类器。
This paper investigates the credit scoring accuracy of three naive Bayesian classifier models.
论文研究了三种朴素贝叶斯分类器信用评估模型的精度。
To speed up the facial feature detection, a diamond search algorithm is introduced in the Bayesian classifier.
在人脸特征区域判决中引入菱形搜索，与贝叶斯判决相结合，以提高人脸特征区域的检测速度。
This paper adopts a middle way: It combines association rules with the ABN classification to construct a Bayesian classifier.
的翻译是：本文件采用一条中间道路：它结合了协会与abnamro分类规则，构建一个贝叶斯分类器。
The classification of the document model, using Bayesian classifier, can dynamically adjust the parameters of feedback devices.
对文档模型的分类，采用了贝叶斯分类器，并动态调整反馈器的参数。
A 3d feature is extracted from the accumulation and main motion orientation, and a Bayesian classifier is used for smoke detection.
根据累积量和主运动方向提取出3维特征矢量，采用贝叶斯分类器进行烟雾的检测。
Then we employ Bayesian classifier to classify these questions. Answer extraction is the most crucial part for question answering system.
本文采用贝叶斯分类器，提取问句主干以及包含疑问词的分支作为特征进行问题分类。
We extended the Naive Bayesian Classifier, applied it in the relational classification filed, and introduced the concept of user's guidance.
对朴素贝叶斯分类算法进行拓展，使其应用到多关系数据分类领域，并引入了用户指导的概念。
Then, the sub-strokes and ambiguous zones can be modeled with a graph, and a Bayesian classifier is built to analyze the continuity of sub-stroke pairs.
然后利用图模型来对子笔画和模糊区域进行建模，同时通过构造贝叶斯分类器来分析子笔画对的连续性，并通过路径搜索来得到子笔画序列；
Furthermore, compared with the general Bayesian classifier ensemble, PEBNC requires less space because there is no need to save parameters of individual classifiers.
此外，与一般的贝叶斯集成分类器相比，PEBNC不必存储成员分类器的参数，空间复杂度大大降低。
The oblivious polynomial evaluation protocol will be used many times in our privacy preserving naive bayesian classifier, so its efficiency is important to the solution.
构造的思路是先将其转化为相应的泰勒展开式，然后使用健忘多项式计算协议获得结果。
Absrtact: Naive Bayesian classifier is a simple and effective classifier, but its conditional independence assumption makes it unable to express the dependence among features.
摘要：朴素贝叶斯分类器是一种简单而高效的分类器，但它的条件独立性假设使其无法表示属性问的依赖关系。
A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.
基于基本粗糙集合理论中属性不精确或部分依赖关系的定义，提出了一种新的选择性受限树型贝叶斯网络分类器。
Bayesian classifier is excellent at simple network structure and extending easily. It is effective for classifying maize disease and it can use for reference for the image recognition re...
贝叶斯分类器具有网络结构简单、易于扩展等特点，对玉米叶部病害的分类识别效果较好，也为其它作物病害图像识别的研究提供了借鉴。
Although text classification with Bayesian classifier is simpler, intuitionistic and stable in performance, they still face with some significant problems in some complex text classification tasks.
基于贝叶斯模型的文档分类具有简单、直观、性能稳定的优点，但面对复杂的文档分类问题，仍然存在许多急待解决的问题。
Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to "describe" a corpus of documents.
Bayesian网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来“描述”文档集。
It is compared with two kinds of classifier, which is based on the principle of immunity, and traditional Bayesian classification.
与两种基于免疫原理的文本分类方法和传统的贝叶斯分类器进行了比较研究。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
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）。
Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper.
基于粗糙集、模糊集和贝叶斯最优分类器，提出一种变压器绝缘故障诊断与维护的综合决策模型。
Bayesian network classifier has good capability to handle problems with high uncertainty, and is fit for customer modeling in CRM.
基于贝叶斯网的分类器因其对不确定性问题有较强的处理能力，因此在CRM客户建模中有其独特的优势。
This paper proposes a Bayesian method based E-mail classifier, discusses the idea and gives the system structure.
本文提出了一种基于贝叶斯方法的电子邮件分类器，讨论了其基本思想，给出了实现的系统结构。
According to the knowledge auto-extraction method developed in this study, the bottleneck of knowledge acquirement in Bayesian expert system classifier could be well solved.
研究表明依据专家知识自动提取方法能够有效解决现有贝叶斯专家系统分类器中存在的瓶颈问题。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Firstly, the bottleneck of actual Bayesian expert system classifier was identified according to the process analysis.
研究中分析了专家知识提取相关过程，并得出现有贝叶斯专家系统分类器应用的瓶颈问题。
Firstly, the bottleneck of actual Bayesian expert system classifier was identified according to the process analysis.
研究中分析了专家知识提取相关过程，并得出现有贝叶斯专家系统分类器应用的瓶颈问题。
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