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。
It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification.
它主要有两种分类方法：一种为朴素贝叶斯分类，另一种为贝叶斯信念网络分类。
The stability of object types is one bottleneck in BP, leading to its robustness less than naive Bayesian network.
地物类别的稳定性是BP识别算法效率的瓶颈，导致其健壮性不如朴素贝叶斯网络。
The experimental results show that this algorithm has better performance when compared with traditional naive Bayesian algorithm.
实验结果表明，与传统的朴素贝叶斯算法相比，该方法具有更好的性能。
A Naive Bayesian classification based on clustering principle (CNBC) by introducing clustering algorithm into Naive Bayesian classification.
将聚类算法引入到朴素贝叶斯分类研究中，提出一种基于聚类的朴素贝叶斯分类算法(CNBC)。
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。
For example, NLTK has a whole framework for text classification using statistical techniques like "naive Bayesian" and "maximum entropy" models.
例如，NLTK有一个完整的框架，用于通过类似于“naive Bayesian”和“maximumentropy”等模型的统计技术进行文本分类。
Therefore, the authors propose a new approach of Augmented Naive Bayesian network based on Association Rules data mining to diagnose faults in power network.
针对以上问题，本文研究采用关联规则属性约简和贝叶斯网络相结合的电网故障诊断方法。
The filtering system was built up with multi-layer filtering technology as blacklist technology, characteristic filtering, Naive Bayesian, and user feedback mechanism.
系统采用黑白名单过滤、邮件特征过滤和贝叶斯分类相结合的三层过滤技术，并通过用户反馈机制降低误报率。
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。
The new algorithm combines the merit of decision tree induction method and naive Bayesian method. It retains the good interpretability of decision tree and has good incremental learning ability.
该算法综合了决策树方法和贝叶斯方法的优点，既有良好的可解释性，又有良好的增量学习能力。
The Bayesian classification technology in Data mining was discussed, and the research was emphasized on the basic principle and the work procedure of the Naive Bayesian classification technology.
对数据挖掘中的贝叶斯分类技术进行了讨论，重点分析了朴素贝叶斯分类技术的基本原理和工作过程。
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）。
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）。
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