| 引用本文: | 蒋艳凰,杨学军.基于搜索编码的简单贝叶斯分类方法.[J].国防科技大学学报,2004,26(5):63-69.[点击复制] |
| JIANG Yanhuang,YANG Xuejun.A Bayesian Learning Algorithm Based on Search-Coding Method[J].Journal of National University of Defense Technology,2004,26(5):63-69[点击复制] |
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| 基于搜索编码的简单贝叶斯分类方法 |
| 蒋艳凰, 杨学军 |
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(国防科技大学 计算机学院，湖南 长沙 410073)
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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。 |
| 关键词: 监督分类 简单贝叶斯算法 纠错输出码 搜索编码法 |
| DOI： |
| 投稿日期：2004-08-06 |
| 基金项目:国家杰出青年科学基金资助项目(69825104) |
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| A Bayesian Learning Algorithm Based on Search-Coding Method |
| JIANG Yanhuang, YANG Xuejun |
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(College of Computer, National Univ. of Defense Technology, Changsha 410073，China)
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| Abstract: |
| Naǐve-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 vaǐve 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. |
| Keywords: supervised classification Naǐve-Bayes algorithm error-correcting output code (ECOC) search-coding method |
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