文件名称:bayesfortext
介绍说明－－下载内容均来自于网络，请自行研究使用
本文通过分析朴素贝叶斯的两种常见的实现
模型：二项独立模型（BIM）和多项模型（MM），提出混和模型的朴素贝叶斯方法和带有单词量相关的
平滑因子的混和模型。-In this paper, by analyzing the Naive Bayesian realization of the two common models: two independent model (BIM) and a number of model (MM), proposed by the Naive Bayesian mixture model method and the volume associated with the word smoothing factor mixed model.
模型：二项独立模型（BIM）和多项模型（MM），提出混和模型的朴素贝叶斯方法和带有单词量相关的
平滑因子的混和模型。-In this paper, by analyzing the Naive Bayesian realization of the two common models: two independent model (BIM) and a number of model (MM), proposed by the Naive Bayesian mixture model method and the volume associated with the word smoothing factor mixed model.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
改善朴素贝叶斯在文本分类中的稳定性.pdf