朴素贝叶斯的英文

• naive bayes

• "朴素"英文翻译    simple; plain
• "贝叶"英文翻译    pattra leaves
• "斯"英文翻译    this
• "贝叶斯" 英文翻译 :    bayes' formula (theorum); bayesian
• "贝叶斯的" 英文翻译 :    bayesian
• "贝叶斯定理" 英文翻译 :    bayes theorem; bayes theory; bayesian inference; bayesian theorem; bayess theorem; bayesss theorem; s theorem
• "贝叶斯定律" 英文翻译 :    bayes law
• "贝叶斯法则" 英文翻译 :    bayes rule
• "贝叶斯方法" 英文翻译 :    bayes method of reliability demonstration testing for colour broadcasting tv receiver; bayeses method of reliability demonstration testing for black and white tv receivers
• "贝叶斯分类" 英文翻译 :    bayes classification; bayesian classification; bayesiancla ification
• "贝叶斯分析" 英文翻译 :    bayesian analysis
• "贝叶斯风险" 英文翻译 :    bayes risk; bayes' risk
• "贝叶斯概率" 英文翻译 :    bayesian probability
• "贝叶斯公设" 英文翻译 :    bayes postulate
• "贝叶斯公式" 英文翻译 :    bayes formula
• "贝叶斯估计" 英文翻译 :    bayesian estimate; bayesian estimation
• "贝叶斯回归" 英文翻译 :    bayesian regression
• "贝叶斯机器" 英文翻译 :    bayes machine
• "贝叶斯检测" 英文翻译 :    baye's test
• "贝叶斯检验" 英文翻译 :    bayes test
• "贝叶斯解" 英文翻译 :    bayes solution
• "贝叶斯理论" 英文翻译 :    bayesian theory
• "贝叶斯逻辑" 英文翻译 :    bayesian logic
• "贝叶斯算法" 英文翻译 :    bayesian algorithm
• "贝叶斯统计" 英文翻译 :    bayesian statistic

• Spam filtering gateway based on nb algorithm
  基于朴素贝叶斯算法的垃圾邮件网关
• An improved naive bayesian categorization algorithm for html
  文档的朴素贝叶斯分类算法
• Tree augmented naive bayes , tanb
  提出了一种基于树扩展朴素贝叶斯
• Mixed naive bayes classifier model
  混合式朴素贝叶斯分类模型
• 3 ) we construct the privacy preserving naive bayesian classifier
  3 )构造了保持隐私的朴素贝叶斯分类器。
• An improved digital watermarking algorithm based upon relationship in dct domain
  该方法基于传统的朴素贝叶斯
• A high effective network intrusion detection system based on tree augmented na ve bayes
  基于树扩展朴素贝叶斯的高效网络入侵检测系统
• Research on the method of processing empty value based on generalized naive bayes classifiers
  基于广义朴素贝叶斯分类器的空值处理方法
• Classification algorithm for self - learning naive bayes based on conditional information entropy
  基于条件信息熵的自主式朴素贝叶斯分类算法
• The key of model learning of semi - naive bayesian classifier is how to combine feature attributes effectively
  目前半朴素贝叶斯分类模型学习的关键是如何有效组合特征属性。