Kush E N. Learning to remove internet advertisements[C]//Proceedings of the 3rd International Conference on Autonomous Agents.Seattle,Washington:[s.n.],1999:175-181.
[2]
Hall R J. How to avoid unwanted e-mail[J]. Communication of ACM, 1998,41(3):88-95.
[3]
Cohen W W. Learning rule that classify e-mail[C]//Proceedings of the AAAI Spring Symposium on Machine Learning In Information Access. Stanford, California:[s.n.], 1996:85-90.
[4]
柴宝仁,谷文成,牛占云,等.基于Boosting算法的垃圾邮件过滤方法研究[J].北京理工大学学报,2013,33(1):79-83. Chai Baoren, Gu Wencheng, Niu Zhanyun, et al. A filtering method against junk mail using Boosting algorithm[J]. Transactions of Beijing Institute of Technology, 2013,33(1):79-83. (in Chinese)
[5]
崔超,吴双,张宪忠,等.基于贝叶斯概率理论的防火墙技术研究[J].北京理工大学学报,2012,32(8):801-804. Cui Chao, Wu Shuang,Zhang Xianzhong, et al. Firewall technology based on Bayesian probability theory[J].Transactions of Beijing Institute of Technology,2012,32(8):801-804.(in Chinese)
[6]
崔超,杨威,张宪忠,等.贝叶斯网络在垃圾邮件算法中的应用研究[J].哈尔滨工业大学学报, 2011,43(11):145-148. Cui Chao, Yang Wei, Zhang Xianzhong, et al. Bayesian application study on arithmetic for filtering junk e-mail[J]. Journal of Harbin Institute of Technology, 2011,43(11):145-148. (in Chinese)
[7]
Richard O D.贝叶斯决策论模式分类[M].北京:机械工业出版社,2003. Richard O D. Pattern classification for Bayesian decision theory[M]. Beijing: China Machine Press, 2003. (in Chinese)