naive bayesian classification

基本解释

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“maximum entropy”等模型的统计技术进行文本分类。
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。

朴素贝叶斯分类
Some basic theories used in this thesis are briefly introduced, including Naive Bayesian classification modeling, the basic problems in Machine Learning, Support Vector Machine classification algorithms and the character of Copula function.
本文简要地介绍了关于朴素贝叶斯分类器和支持向量机的基本理论,包括朴素贝叶斯分类模型,机器学习的基本问题,统计学习理论的基本内容,支持向量机分类算法,Copula函数的原理及性质。