ITP OpenIR  > 理论物理所2016年知识产出
Data quality for the inverse Ising problem
Decelle, A; Ricci-Tersenghi, F; Zhang, P; Ricci-Tersenghi, F (reprint author), Univ Roma La Sapienza, Dipartimento Fis, Ist Nazl Fis Nucl, Sez Roma1, Piazzale Aldo Moro 5, I-00185 Rome, Italy.; Ricci-Tersenghi, F (reprint author), Univ Roma La Sapienza, CNR Nanotec, I-00185 Rome, Italy.
2016
发表期刊JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
卷号49期号:38页码:384001
文章类型Article
摘要There are many methods proposed for inferring parameters of the Ising model from given data, that is a set of configurations generated according to the model itself. However little attention has been paid until now to the data, e.g. how the data is generated, whether the inference error using one set of data could be smaller than using another set of data, etc. In this paper we discuss the data quality problem in the inverse Ising problem, using as a benchmark the kinetic Ising model. We quantify the quality of data using effective rank of the correlation matrix, and show that data gathered in a out-of-equilibrium regime has a better quality than data gathered in equilibrium for coupling reconstruction. We also propose a matrix-perturbation based method for tuning the quality of given data and for removing bad-quality (i.e. redundant) configurations from data.
关键词Statistical Inference Inverse Ising Problem Big Data Parallel Dynamics Effective Rank
学科领域Physics
DOIhttp://dx.doi.org/10.1088/1751-8113/49/38/384001
关键词[WOS]MODEL
收录类别SCI
语种英语
WOS类目Physics, Multidisciplinary ; Physics, Mathematical
引用统计
文献类型期刊论文
条目标识符http://ir.itp.ac.cn/handle/311006/21526
专题理论物理所2016年知识产出
通讯作者Ricci-Tersenghi, F (reprint author), Univ Roma La Sapienza, Dipartimento Fis, Ist Nazl Fis Nucl, Sez Roma1, Piazzale Aldo Moro 5, I-00185 Rome, Italy.; Ricci-Tersenghi, F (reprint author), Univ Roma La Sapienza, CNR Nanotec, I-00185 Rome, Italy.
推荐引用方式
GB/T 7714
Decelle, A,Ricci-Tersenghi, F,Zhang, P,et al. Data quality for the inverse Ising problem[J]. JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL,2016,49(38):384001.
APA Decelle, A,Ricci-Tersenghi, F,Zhang, P,Ricci-Tersenghi, F ,&Ricci-Tersenghi, F .(2016).Data quality for the inverse Ising problem.JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL,49(38),384001.
MLA Decelle, A,et al."Data quality for the inverse Ising problem".JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL 49.38(2016):384001.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Data quality for the(718KB) 开放获取--请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Decelle, A]的文章
[Ricci-Tersenghi, F]的文章
[Zhang, P]的文章
百度学术
百度学术中相似的文章
[Decelle, A]的文章
[Ricci-Tersenghi, F]的文章
[Zhang, P]的文章
必应学术
必应学术中相似的文章
[Decelle, A]的文章
[Ricci-Tersenghi, F]的文章
[Zhang, P]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。