| 智能信息处理的Bayesian方法研究进展 |
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| 引用本文： | 丁照宇,鲁红英,肖思和,何建军. 智能信息处理的Bayesian方法研究进展[J]. 计算机应用研究, 2002, 19(8): 1-3,6 |
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| 作者姓名： | 丁照宇 鲁红英 肖思和 何建军 |
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| 作者单位： | 成都理工大学,四川,成都,610059 |
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| 基金项目： | 成都理工大学青年科学基金资助项目(YQN 2 0 0 0 0 9) |
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| 摘 要： | 简要地回顾了近十年来Bayesian统计计算方法的研究成果 ,并分析了Bayesian方法在两种重要的智能信息处理模型———混合体模型和神经网络 ,一个最有代表性的信息应用学科———计算机视觉中的最新研究动态 ;最后指出了今后四个需要值得重点关注的基于Bayesian理论的智能信息处理方法
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| 关 键 词： | Bayesian统计学 混合智能系统 混合体模型 神经网络 计算机视觉 |
| 文章编号： | 1001-3695(2002)08-0001-03 |
Intelligent Information Methods Based on Bayesian Theory Researches in Recent |
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| DING Zhao-yu,LU Hong-ying,XIAO Si-he,HE Jian-jun. Intelligent Information Methods Based on Bayesian Theory Researches in Recent[J]. Application Research of Computers, 2002, 19(8): 1-3,6 |
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| Authors: | DING Zhao-yu LU Hong-ying XIAO Si-he HE Jian-jun |
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| Abstract: | In this paper, researches on Bayesian statistical computation in recent ten years are simple reviewed. The latest research trends of two important intelligent information processing models, mixture model and neural networks, and a representative applied information subject, computer vision, are analyzed. Finally, four intelligent information methods based on Bayesian theory are emphases. |
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| Keywords: | Bayesian Statistics Hybrid Intelligent Systems Mixture Models Neural Networks Computer Vision |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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