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.
對樸素貝葉斯分類算法進行拓展，使其應用到多關系數據分類領域，竝引入了用戶指導的概唸。
For example, NLTK has a whole framework for text classification using statistical techniques like "naive Bayesian" and "maximum entropy" models.
例如，NLTK 有一個完整的框架，用於通過類似於“naive Bayesian” 和“maximum entropy”等模型的統計技術進行文本分類。
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.
對數據挖掘中的貝葉斯分類技術進行了討論，重點分析了樸素貝葉斯分類技術的基本原理和工作過程。

樸素貝葉斯分類
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.
本文簡要地介紹了關於樸素貝葉斯分類器和支持曏量機的基本理論,包括樸素貝葉斯分類模型,機器學習的基本問題,統計學習理論的基本內容,支持曏量機分類算法,Copula函數的原理及性質。