中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
experimental study on parameter choices in norm-r support vector regression machines with noisy input

文献类型:期刊论文

作者Wang S ; Zhu J ; Chung FL ; Dewen H
刊名SOFT COMPUTING
出版日期2006
卷号10期号:3页码:219-223
关键词播种机械:7126,点种器:3751,地膜覆盖:3283,棉花生产:3089,机械化:2042,铺膜点播机:1851,三膜:1764,滴灌:1307,软管灌:1274,机采棉:876support vector regression (SVR) r-loss functions Newton descent method
ISSN号1432-7643
中文摘要对商品实施网络营销的前提是进行商品数字化,而数字化产品和非数字化产品的数字化程度不同,因此两类商品的网络营销具有差异性。该文以软件和玉器为例从数字化程度、消费者心理、网络广告和网络营销策略等几个方面分析了两类商品网络营销的差异性。
学科主题Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications
收录类别SCI ; CNKI
语种英语
公开日期2011-07-13
附注In 1, with the evidence framework, the almost inversely linear dependency between the optimal parameter r in norm-r support vector regression machine r-SVR and the Gaussian input noise is theoretically derived. When r takes a non-integer value
源URL[http://124.16.136.157/handle/311060/11486]  
专题软件研究所_软件所图书馆_期刊论文
推荐引用方式
GB/T 7714
Wang S,Zhu J,Chung FL,et al. experimental study on parameter choices in norm-r support vector regression machines with noisy input[J]. SOFT COMPUTING,2006,10(3):219-223.
APA Wang S,Zhu J,Chung FL,&Dewen H.(2006).experimental study on parameter choices in norm-r support vector regression machines with noisy input.SOFT COMPUTING,10(3),219-223.
MLA Wang S,et al."experimental study on parameter choices in norm-r support vector regression machines with noisy input".SOFT COMPUTING 10.3(2006):219-223.

入库方式: OAI收割

来源:软件研究所

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