云南高校图书馆联盟文献共享服务平台- SUBSAMPLING

SUBSAMPLING: 作品数：27被引量：28H指数：3; 导出分析报告; 相关作者：秦瑞兵金浩刘洋田铮段丽娅更多>>; 相关机构：西安科技大学山西大学西安交通大学中国科学院更多>>; 相关期刊：《Visual Computing for Industry,Biomedicine,and Art》《统计与信息论坛》《npj Computational Materials》《Big Data Mining and Analytics》更多>>; 相关基金：国家自然科学基金陕西省自然科学基金北京市自然科学基金国家重点基础研究发展计划更多>>

Analyzing the Dissemination of News by Model Averaging and Subsampling: 《Journal of Systems Science & Complexity》2024年第5期2104-2131,共28页ZOU Jiahui; supported by the National Natural Science Foundation of China under Grant No.12201431;the Young Teacher Foundation of Capital University of Economics and Business under Grant Nos.XRZ2022-070 and 00592254413070。; The dissemination of news is a vital topic in management science,social science and data science.With the development of technology,the sample sizes and dimensions of digital news data increase remarkably.To alleviate...; 关键词：Asymptotic optimality dissemination of news linear regression models model averaging optimal subsampling.

Optimal decorrelated score subsampling for generalized linear models with massive data被引量：1: 《Science China Mathematics》2024年第2期405-430,共26页Junzhuo Gao Lei Wang Heng Lian; This work was supported by the Fundamental Research Funds for the Central Universities,National Natural Science Foundation of China(Grant No.12271272)and the Key Laboratory for Medical Data Analysis and Statistical Research of Tianjin.; In this paper, we consider the unified optimal subsampling estimation and inference on the lowdimensional parameter of main interest in the presence of the nuisance parameter for low/high-dimensionalgeneralized linear...; 关键词：A-OPTIMALITY decorrelated score subsampling high-dimensional inference L-optimality massive data

Optimal Poisson Subsampling for Softmax Regression被引量：2: 《Journal of Systems Science & Complexity》2023年第4期1609-1625,共17页YAO Yaqiong ZOU Jiahui WANG Haiying; Wang Haiying’s research was partially supported by the National Science Foundation under Grant No.CCF 2105571.; Softmax regression,which is also called multinomial logistic regression,is widely used in various fields for modeling the relationship between covariates and categorical responses with multiple levels.The increasing v...; 关键词：Multinomial logistic regression optimality criterion optimal subsampling

Deep learning for predictive mechanical properties of hot-rolled strip in complex manufacturing systems被引量：2: 《International Journal of Minerals,Metallurgy and Materials》2023年第6期1093-1103,共11页Feifei Li Anrui He Yong Song Zheng Wang Xiaoqing Xu Shiwei Zhang Yi Qiang Chao Liu; financially supported by the National Natural Science Foundation of China(No.52004029);the Fundamental Research Funds for the Central Universities,China(No.FRF-TT-20-06).; Higher requirements for the accuracy of relevant models are put throughout the transformation and upgrade of the iron and steel sector to intelligent production.It has been difficult to meet the needs of the field wit...; 关键词：hot-rolled strip prediction of mechanical properties deep learning multi-grained cascade forest time series feature extraction variable window subsampling

基于Subsampling抽样的厚尾AR(p)序列趋势变点的Ratio检验: 《统计与决策》2023年第10期34-38,共5页王爱民金浩宋雪丽; 国家自然科学基金资助项目(71473194);陕西省科技厅自然科学基金资助项目(2020JM513)。; 文章考虑的是厚尾AR(p)序列趋势变点检验问题。首先,在已有研究的启发下,构造了一个Ratio统计量来检验趋势变点;其次,在原假设下证明统计量的极限分布是列维过程的泛函,在备择假设下得到统计量的一致性;其次,为了避免参数的估计,采用Sub...; 关键词：趋势变点 Ratio检验厚尾 SUBSAMPLING

Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering: 《Big Data Mining and Analytics》2023年第1期72-84,共13页Samin Poudel Marwan Bikdash; We postulate and analyze a nonlinear subsampling accuracy loss(SSAL)model based on the root mean square error(RMSE)and two SSAL models based on the mean square error(MSE),suggested by extensive preliminary simulations...; 关键词：collaborative filtering SUBSAMPLING accuracy loss models performance loss recommendation system SIMULATION rating matrix root mean square error

Optimal Dependence of Performance and Efficiency of Collaborative Filtering on Random Stratified Subsampling被引量：2: 《Big Data Mining and Analytics》2022年第3期192-205,共14页Samin Poudel Marwan Bikdash; Dropping fractions of users or items judiciously can reduce the computational cost of Collaborative Filtering(CF)algorithms.The effect of this subsampling on the computing time and accuracy of CF is not fully understo...; 关键词：Collaborative Filtering(CF) SUBSAMPLING Training Time Improvement(TTI) performance loss Recommendation System(RS) collaborative filtering optimal solutions rating matrix

Most Likely Optimal Subsampled Markov Chain Monte Carlo被引量：2: 《Journal of Systems Science & Complexity》2021年第3期1121-1134,共14页HU Guanyu WANG Haiying; supported by US National Science Fundation under Grant No. 1812013。; Markov Chain Monte Carlo(MCMC) requires to evaluate the full data likelihood at different parameter values iteratively and is often computationally infeasible for large data sets. This paper proposes to approximate th...; 关键词：Big data MCMC metropolis-hasting algorithm nonuniform subsampling

CMOS analog and mixed-signal phase-locked loops: An overview被引量：6: 《Journal of Semiconductors》2020年第11期13-30,共18页Zhao Zhang; supported by the Pioneer Hundred Talents Program,Chinese Academy of Sciences.; CMOS analog and mixed-signal phase-locked loops(PLL)are widely used in varies of the system-on-chips(SoC)as the clock generator or frequency synthesizer.This paper presents an overview of the AMS-PLL,including:1)a bri...; 关键词：phase-locked loop(PLL) charge-pump based PLL(CPPLL) ultra-low-jitter PLL injection-locked PLL(ILPLL) subsampling PLL(SSPLL) sampling PLL(SPLL)

Tensor Bernstein concentration inequalities with an application to sample estimators for high-order moments被引量：1: 《Frontiers of Mathematics in China》2020年第2期367-384,共18页Ziyan LUO Liqun QI Philippe LTOINT; supported by the National Natural Science Foundation of China(Grant No.11771038);the Beijing Natural Science Foundation(Grant No.Z190002);the Hong Kong Research Grant Council(Grant Nos.PolyU 15300715,15301716,15300717)。; This paper develops the Bernstein tensor concentration inequality for random tensors of general order,based on the use of Einstein products for tensors.This establishes a strong link between these and matrices,which i...; 关键词：Random tensors concentration inequality Einstein products SUBSAMPLING computational statistics

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