Real-Time Transfer Active Learning for Functional Regression and Prediction Based on Multi-Output Gaussian Process

被引：0
|
作者：
Xia, Zengchenghao [1 ]
Hu, Zhiyong [2 ]
He, Qingbo [3 ]
Wang, Chao [1 ]
机构：
[1] University of Iowa, Department of Industrial and Systems Engineering, Iowa City,IA,52242, United States
[2] Anhui University, Department of Automation, Hefei,230601, China
[3] Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, Shanghai,200240, China
来源：
IEEE Transactions on Signal Processing | 2024年 / 72卷
关键词：
This work was partially supported by the National Science Foundation (NSF) under Grant CMMI-2436025. The associate editor coordinating the review of this article and approving it for publication was Dr. Mohammed Nabil El Korso;
D O I：
10.1109/TSP.2024.3451412
中图分类号：
学科分类号：
摘要：
60
引用
收藏
页码：4163 / 4177
相关论文
共 50 条
  • [1] Online Sparse Multi-Output Gaussian Process Regression and Learning
    Yang, Le
    Wang, Ke
    Mihaylova, Lyudmila
    IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2019, 5 (02): : 258 - 272
  • [2] Plane Cascade Aerodynamic Performance Prediction Based on Metric Learning for Multi-Output Gaussian Process Regression
    Liu, Lin
    Yang, Chunming
    Xiang, Honghui
    Lin, Jiazhe
    SYMMETRY-BASEL, 2023, 15 (09):
  • [3] Respiratory motion prediction using multi-output Gaussian process regression
    Omotayo, Azeez
    McCurdy, Boyd
    Venkataraman, Sankar
    MEDICAL PHYSICS, 2017, 44 (08) : 4385 - 4385
  • [4] Remarks on multi-output Gaussian process regression
    Liu, Haitao
    Cai, Jianfei
    Ong, Yew-Soon
    KNOWLEDGE-BASED SYSTEMS, 2018, 144 : 102 - 121
  • [5] Urban Network Travel Time Prediction via Online Multi-Output Gaussian Process Regression
    Rodriguez-Deniz, Hector
    Jenelius, Erik
    Villani, Mattias
    2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017,
  • [6] Heterogeneous Multi-output Gaussian Process Prediction
    Moreno-Munoz, Pablo
    Artes-Rodriguez, Antonio
    Alvarez, Mauricio A.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [7] Multivariate Gaussian and Student-t process regression for multi-output prediction
    Chen, Zexun
    Wang, Bo
    Gorban, Alexander N.
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (08): : 3005 - 3028
  • [8] Multivariate Gaussian and Student-t process regression for multi-output prediction
    Zexun Chen
    Bo Wang
    Alexander N. Gorban
    Neural Computing and Applications, 2020, 32 : 3005 - 3028
  • [9] Generalized multi-output Gaussian process censored regression
    Gammelli, Daniele
    Rolsted, Kasper Pryds
    Pacino, Dario
    Rodrigues, Filipe
    PATTERN RECOGNITION, 2022, 129
  • [10] Fast Airfoil Design Based on Multi-output Gaussian Process Regression
    Yan Guoqi
    Liu Xuejun
    Lu Hongqiang
    DISCOVERY, INNOVATION AND COMMUNICATION - 5TH CSAA SCIENCE AND TECHNIQUE YOUTH FORUM, 2012, : 147 - 152
12345