就是有关计算机毕业英文论文翻译资料，An Algorithm for Bayesian Belief Network Construction from Data

The Bayesian Choice From Decision Theoretic Foundationsto Computational Implementation

贝叶斯是基于概率的一种算法，是Thomas Bayes：一位伟大的数学大师所创建的，目前此种算法用于过滤垃圾邮件得到了广泛地好评。贝叶斯过滤器是基于“自我学习”的智能技术，能够使自己适应垃圾邮件制造者的新把戏，同时为合法电子邮件提供保护。在智能邮件过滤技术中，贝叶斯（Bayesian）过滤技术取得了较大的成功，被越来越多地应用在反垃圾邮件的产品中。

Bayesian Networks,描述了贝叶斯的基础理论和原理

Bayesian Spectrum Analysis and Parameter Estimation

Bayesian Compressive Sensing Using Laplace Priors

good ppt for Bayesian Networks

很好的Bayesian分类算法 用VC实现了Bayesian分类

贝叶斯 机器学习 数据挖掘 Bayesian-machine-learn-data-mining

The book gives an introduction to both probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of framework