片语

naive Bayesian algorithm朴素贝叶斯分析

Naive Bayesian Model朴素贝叶斯模型

naive Bayesian network classifier朴素贝叶斯网络分类器

naive bayesian spam filtering贝叶斯垃圾邮件过滤

naive Bayesian classification model类模型

naive bayesian method朴素贝叶斯方法

tree augmented naive Bayesian树增强贝叶斯分类模型

Naive Bayesian classification贝叶斯分类

英汉例句

• 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。

• furthermore, aiwl leverages a naive bayesian classifier to mine users「login processes so as to maintain the white-list automatically.

  同时在构建白名单的过程中，论文使用贝叶斯算法，通过对用户登录行为的学习实现个人白名单的自动添加和维护。

• 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 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）。

• 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。

• 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。

• 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 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。

• we construct the privacy preserving naive bayesian classifier.

  构造了保持隐私的朴素贝叶斯分类器。

• 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 naive bayesian classification method is used to forecast new or potential customers」 value, and a relevant customer development strategy is thus available.

  利用朴素贝叶斯分类方法来预测新客户（或潜在客户）的价值，并依据预测结果来制定相应的重点客户发展战略。

• 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。

• 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。