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基于搜索编码的简单贝叶斯分类方法 被引量：1

A Bayesian Learning Algorithm Based on Search-Coding Method
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摘要 简单贝叶斯法性能稳定,分类精度难以提高。通过分析搜索编码法产生的纠错输出码的性质,提出基于搜索编码的简单贝叶斯算法SCNB,并详细阐述了SCNB算法的应用流程。实验结果表明,采用搜索编码法能够有效提高简单贝叶斯分类器的泛化能力。 Nave-Bayes algorithm is a stable supervised learning method, and it is difficult to improve its predicting accuracy. This paper analyzes the properties of the error-correcting output codes generated by search-coding method at first, then presents a search coding based on vave Bayes algorithm (SCNB), and describes the flow chart of SCNB in detail. Experimental results show that search-coding method is an efficient approach to improve the generalization for Bayesian classifiers.
作者 蒋艳凰 杨学军
机构地区 国防科技大学计算机学院
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2004年第5期63-69,共7页 Journal of National University of Defense Technology
基金 国家杰出青年科学基金资助项目(69825104)
关键词 监督分类 简单贝叶斯算法 纠错输出码 搜索编码法 supervised classification Nave-Bayes algorithm error-correcting output code (ECOC) search-coding method
分类号 TP181 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献10

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二级参考文献12

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同被引文献6

  • 1Zhang T,Fossorrier M.Shuffled Belief Propagation Decoding[C].The Proceedings 36^th Asilomar Conference on Signal Systems and Computers,Pacific Grove,Grove,USA,2002:8-15.
  • 2Sharon E,Goldberger J.An Efficient Message-passing Schedule for LDPC Decoding[J].IEEE Commun.Lett.,2004,4:223-226.
  • 3Mao Y,Banihashemi A H.A New Schedule for Decoding Low-density Parity-check Codes[J].IEEE,2001:1007-1010.
  • 4Ryan W E.An Introduction to LDPC Codes[R].NSF CCR-9814472,Aug.2003.
  • 5Kschischang F R,et al.Factor Graphs and Sum Product Algorithm[J].IEEE Trans.Inform.Theory,2001,47(2):498-519.
  • 6贺玉成,杨莉,王新梅,福田明.置信传播译码算法的性能测度[J].电子学报,2002,30(4):577-580. 被引量：3

引证文献1

二级引证文献3

国防科技大学学报
2004年 第5期

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