A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete DataOACSTPCDEI

作者：Jiufang Chen;Kechen Liu;Xin Luo;Ye Yuan;Khaled Sedraoui;Yusuf Al-Turki;MengChu Zhou

作者单位：College of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,ChinaDepartment of Computer Science,Columbia University,New York 10027 USACollege of Computer and Information Science,Southwest University,Chongqing 400715,ChinaCollege of Computer and Information Science,Southwest University,Chongqing 400715,ChinaDepartment of Electrical and Computer Engineering,Faculty of Engineering||K.A.CARE Energy Research and Innovation Center,King Abdulaziz University,Jeddah 21589,Saudi ArabiaCenter of Research Excellence in Renewable Energy and Power Systems,the Department of Electrical and Computer Engineering,Faculty of Engineering||K.A.CARE Energy Research and Innovation Center,King Abdulaziz University,Jeddah 21589,Saudi ArabiaDepartment of Electrical and Computer Engineering,New Jersey Institute of Technology,Newark,NJ 07102 USA

中文关键词：Data sciencegeneralized momentumhigh-dimen-sional and incomplete(HDI)datahyper-parameter adaptationlatent factor analysis(LFA)particle swarm optimization(PSO)

英文关键词：Data sciencegeneralized momentumhigh-dimen-sional and incomplete(HDI)datahyper-parameter adaptationlatent factor analysis(LFA)particle swarm optimization(PSO)

刊名：《自动化学报（英文版）》 2024 (11)

页码/页数：2220-2235,16

基金：This work was supported in part by the National Natural Science Foundation of China(62372385,62272078,62002337),the Chongqing Natural Science Foundation(CSTB2022NSCQ-MSX1486,CSTB2023NSCQ-LZX0069),and the Deanship of Scientific Research at King Abdulaziz University,Jeddah,Saudi Arabia(RG-12-135-43).

DOI：10.1109/JAS.2024.124575