ITP OpenIR  > SCI期刊论文
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.
Data quality for the inverse Ising problem
Source PublicationJOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
Language英语
KeywordStatistical Inference Inverse Ising Problem Big Data Parallel Dynamics Effective Rank
AbstractThere 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.
2016
Volume49Issue:38Pages:384001
Subject AreaPhysics
DOIhttp://dx.doi.org/10.1088/1751-8113/49/38/384001
Indexed BySCI
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Document Type期刊论文
Identifierhttp://ir.itp.ac.cn/handle/311006/21526
CollectionSCI期刊论文
Corresponding AuthorRicci-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.
Recommended Citation
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.
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