期刊文献+

入侵检测的Fisher、Bayes和MSE识别算法及等价性证明 被引量:2

FISHER,BAYES AND MSE IDENTIFICATION ALGORITHMS FOR INTRUSION DETECTION AND THEIR EQUIVALENCE PROOF
下载PDF
导出
摘要 Fisher判别、Bayes判别和MSE判别是三种重要的线性判别方法,在模式识别和故障诊断中得到广泛应用。证明三种分类器分类算法实际上是等价性,并通过网络入侵检测来检验等价性结论的正确性。 Fisher discrimination,Bayes discrimination and Minimal Square Error(MSE) discrimination are three important linear discrimination methods,which are widely applied to pattern identification and fault diagnosis.It is proven that the three classifier classification algorithms are in fact equivalent.In addition,with network intrusion detection,the equivalence conclusion is validated.
作者 胡国胜
出处 《计算机应用与软件》 CSCD 北大核心 2012年第4期293-296,共4页 Computer Applications and Software
关键词 FISHER判别 Bayes判别 MSE判别 入侵检测 Fisher discrimination Bayes discrimination MSE discrimination Intrusion detection
  • 相关文献

参考文献14

  • 1Simon H. Neural Networks and Learning Machines[M].Prentice-Hall,Inc,2009.
  • 2陈念,王汝传.改进的AdaBoost算法在IDS入侵检测中的应用[J].计算机工程与应用,2010,46(21):94-96. 被引量:5
  • 3Ye J. Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Under-sampled Problems[J].Journal of Machine Learning Research,2005.483-502.
  • 4Valin J M,Collings I B. Interference-Normalized Least Mean Square Algorithm[J].IEEE Signal Processing Letters,2007,(12):988-991.
  • 5Loog M. A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion[J].Journal of Machine Learning Research,2007.2121-2123.
  • 6傅德胜,周舒,郭萍.基于数据挖掘的分布式网络入侵检测系统设计及实现[J].计算机科学,2009,36(3):103-105. 被引量:9
  • 7Cohn I,Hay T E,Friedman N. Mean Field Variational Approximation for Continuous-Time Bayesian Networks[J].Journal of Machine Learning Research,2010.2745-2783.
  • 8Richard O D,Peter E H,David G S. Pattern Classification[M].John Wiley and Sons,Inc,2001.
  • 9Takahashi N,Yamada I. Steady-State Mean-Square Performance Analysis of a Relaxed Set-Membership NLMS Algorithm by the Energy Conservation Argument[J].IEEE Transactions on Signal Processing,2009,(09):3361-3372.
  • 10Slobodianik N,Zaporozhets D. Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks[J].Journal of Machine Learning Research,2009.1511-1526.

二级参考文献34

共引文献76

同被引文献24

  • 1赵喜林,赵喜玲,江祥奎.模式识别方法及其比较分析[J].信阳农业高等专科学校学报,2004,14(3):37-40. 被引量:6
  • 2Kao T J, Boverman G, Kim B S, et al. Regional admittiv- ity spectra with tomosynthesis images for breast cancer detection: Preliminary patient study[J]. IEEE Transac- tions on Medical Imaging, 2008,27 (12) : 1762-1768.
  • 3季振宇,史学涛,尤富生,等.电阻抗扫描成像乳腺癌早期检测设备研制及初步评估[C]//中国科协第十四届年会第十七分会场环境危害与健康防护研讨会论文集.北京:中国生物医学工程学会,2012:169-172.
  • 4Foster K R, Schwan H P. Dielectric properties of tissues and biological materials:A critical review EJ]. Critical Reviews in Biomedical Engineering, 1989, 17 (1) : 25- 104.
  • 5Satosi Watanabe. Pattern Recognition,Human and Me- chanical [M]. New York: John Wiley & Sons, 1985.
  • 6Yang Shuying, Zhang Cheng, Zhang Weiyu, et al. Un- known moving target detecting and tracking based oncomputer vision[C]//Proceedings of the 4 th Interna- tional Conference on Image and Graphics. Piscataway: IEEE, 2007: 490-495.
  • 7VEDALA R, KUMAR B R. An application of Naive Bayes classification for credit scoring in e-lending platform [C]. International Con-ference on Data Science & Engineering (ICDSE), 2012 : 81-84.
  • 8MARIKKANNU P, SHANMUGAPRIYA K. Classification of customer credit data for intelligent credit scoring system using fuzzy set and MC2-Domain driven approach [C]. Electronics Computer Teehnology(ICECT) ,2011 (3) :410-414.
  • 9HE JING, Zhang Yanchun, driven classification based on Shi Yong, et al. Dnmain- multiple criteria and multiple Constraint-Level programming for intelligent credit scoringlC] IEEE Transactions on Knowledge and Dala Engineering 2010.22 (6) : 826-838.
  • 10VOJTEK M, KOCENDA E. Credit scoring methods [J]. Czech Journal of Economics and Finance, 2006,56(3-7): 152-167.

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部