| theoretically optimal parameter choices for support vector regression machines with noisy input |
| Wang ST; Zhu JG; Chung FL; Lin Q; Hu DW
|
| 2005
|
| 发表期刊 | SOFT COMPUTING
 |
| ISSN | 1432-7643
|
| 卷号 | 9期号:10页码:732-741 |
| 收录类别 | sci
; acm
; cnki
|
| 其他摘要 | 在大规模事件通知服务的通用框架基础上,通过分析提出了复合事件检测的基本模型,并对照该基本模型剖析了复合事件检测的四种基本方法:基于Petri网、基于匹配树、基于图以及基于自动机的检测方法,评价了各种方法的优缺点,为开发适用于新的应用需求的复合事件检测技术打下了基础。 |
| 关键词 | 复合事件,检测regularized Linear Regression
Support Vectors
Huber Loss Functions
Norm-r Loss Functions
|
| 部门归属 | So Yangtze Univ, Sch Informat Engn, Wuxi, Peoples R China. Nanjing Univ Sci & Tech, Dept Comp Sci & Engn, Nanjing, Peoples R China. HongKong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China. Natl Def Univ Sci & Tech, Sch Automat, Changsha, Peoples R China. Chinese Acad Sci, Inst Software, Comp Sci Lab, Beijing, Peoples R China.
|
| 学科领域 | Computer Science, Artificial Intelligence
; Computer Science, Interdisciplinary Applications
|
| 语种 | 英语
|
| 内容类型 | 期刊论文
|
| URI标识 | http://ir.iscas.ac.cn/handle/311060/12442
|
| 专题 | 中国科学院软件研究所
|
推荐引用方式
GB/T 7714 |
Wang ST,Zhu JG,Chung FL,et al. theoretically optimal parameter choices for support vector regression machines with noisy input[J]. SOFT COMPUTING,2005,9(10):732-741.
|
| APA |
Wang ST,Zhu JG,Chung FL,Lin Q,&Hu DW.(2005).theoretically optimal parameter choices for support vector regression machines with noisy input.SOFT COMPUTING,9(10),732-741.
|
| MLA |
Wang ST,et al."theoretically optimal parameter choices for support vector regression machines with noisy input".SOFT COMPUTING 9.10(2005):732-741.
|
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