bayesian classification中文是什么意思

• 贝叶斯分类器

• classification    n. 1.选别；分等，分级；分选。 2.【动、植】分类( ...
• bayesian    贝叶斯的; 贝叶斯定理的
• bayes bayesian    贝叶斯定理的
• bayesian algorithm    贝叶斯算法
• bayesian analysis    贝叶斯分析
• bayesian approach    bayes氏方法; 贝斯分析法
• bayesian classifier    贝叶斯分类器
• bayesian estimate    贝叶斯估计
• bayesian estimation    贝叶斯估计
• bayesian formula    式方程式
• bayesian inference    贝叶斯定理; 贝叶斯推断; 贝叶斯推理; 贝叶斯推论
• bayesian learning    贝式学习
• bayesian logic    贝叶斯逻辑
• bayesian models    贝式模型法
• bayesian network    贝式网路; 贝式网络; 贝叶斯网络
• bayesian networks    贝叶斯网络
• bayesian probability    贝叶斯概率
• bayesian regression    贝叶斯回归
• bayesian statistic    贝叶斯统计
• bayesian statistics    贝式统计学; 贝叶斯统计:一种尚有某些争论的统计方法学
• bayesian theorem    贝叶斯定理
• bayesian theory    贝叶斯理论
• classification    n. 1.选别；分等，分级；分选。 2.【动、植】分类(法)。 〔分类级别为： phylum 【动物；动物学】及 division 【植物；植物学】门，class 纲，order 目，family 科，genus 属，species 种，variety 品种〕。 3.类别；等级；(文件的)保密级。 a classification yard (车站的)调车场。
• bayesian decision method    贝叶斯决策方法
• bayesian decision model    培欣决策模式

• In tcm this pattern is called pair of medicine , and it can be resolved by frequent pattern mining . the symptom complex diagnose can be treated as a bayesian training and a bayesian classification on large clinical database cases . the critical step to resolve the chinese prescription compounding is to build an appropriate model to express the progress of it
  中药知识发现集中在发现常用的单味药合用模式，在中医术语中称之为药对，这可以用高频集发现来解决；中医症候诊断可以看成是在大量临床案例库上的贝叶斯训练器和分类器；解决方剂配伍问题的关键是建立起一个合适的配伍计算机模型。
• This paper mainly deals with the multivariate bayesian inference theory used in the modern economical and management science . this includes the bayesian inference theory about three important kinds of linear models , including the single equation model , multiple equation model system and var ( p ) predictive model , and their application in economic forecasting and quality control , and also the design for the bayesian classification identification method among multiple populations
  本文主要研究现代经济管理中的多元贝叶斯推断理论，包括单方程模型、多方程模型系统和向量自回归var ( p )模型的贝叶斯推断理论及其在经济预测与质量控制中的应用，以及多总体的贝叶斯分类识别方法的构造。
• Pvm , belongs to now , has been used widely . the paper implements the parallel algorithm of optimization bayesian classification on pvm , and analyzed acceleration rate and complexity . the analysis indicates that it is excellence when where is amount of class or the data is very large
  本论文在pvm的基础上研究并实现了优化贝叶斯算法的并行化，并且分析了该算法的加速比和时间复杂度，分析表明在类比较多、或者待分类的数据样本比较多时，用该并行算法可以较大幅度提高数据分类的效率。
• Nowadays , many classification methods and some prediction technologies have been put forward , such as classification by decision tree induction , bayesian classification , classification by backpropagation , k - nearest neighbor classifiers , linear and nonlinear regression . however , none of them is better than others in all application
  在这一研究方向，目前已提出了多种分类方法（如决策树归纳分类、贝叶斯分类、神经网络分类和k -最邻近分类等）和一些预测技术（如线性回归、非线性回归等） 。