Multi-source transfer learning of time series in cyclical manufacturing

被引：0
|
作者：
Werner Zellinger
Thomas Grubinger
Michael Zwick
Edwin Lughofer
Holger Schöner
Thomas Natschläger
Susanne Saminger-Platz
机构：
[1] Johannes Kepler University Linz,Department of Knowledge
[2] Software Competence Center Hagenberg GmbH,Based Mathematical Systems
来源：
Journal of Intelligent Manufacturing | 2020年 / 31卷
关键词：
Transfer learning; Multi-source transfer learning; Regression; Domain generalization; Domain adaptation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：777 / 787
页数：10
相关论文
共 50 条
  • [1] Multi-source transfer learning of time series in cyclical manufacturing
    Zellinger, Werner
    Grubinger, Thomas
    Zwick, Michael
    Lughofer, Edwin
    Schoener, Holger
    Natschlaeger, Thomas
    Saminger-Platz, Susanne
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 31 (03) : 777 - 787
  • [2] Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting
    He, Qi-Qiao
    Pang, Patrick Cheong-Iao
    Si, Yain-Whar
    [J]. 2020 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2020), 2020, : 227 - 233
  • [3] A novel active multi-source transfer learning algorithm for time series forecasting
    Gu, Qitao
    Dai, Qun
    [J]. APPLIED INTELLIGENCE, 2021, 51 (03) : 1326 - 1350
  • [4] A novel active multi-source transfer learning algorithm for time series forecasting
    Qitao Gu
    Qun Dai
    [J]. Applied Intelligence, 2021, 51 : 1326 - 1350
  • [5] Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction
    Gu, Qitao
    Dai, Qun
    Yu, Huihui
    Ye, Rui
    [J]. APPLIED SOFT COMPUTING, 2021, 109
  • [6] Similarity-based Multi-source Transfer Learning Approach for Time Series Classification
    Senanayaka, Ayantha
    Al Mamun, Abdullah
    Bond, Glenn
    Tian, Wenmeng
    Wang, Haifeng
    Fuller, Sara
    Falls, T. C.
    Rahimi, Shahram
    Bian, Linkan
    [J]. INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT, 2022, 13 (02) : 1 - 25
  • [7] Research on Multi-source Transfer Learning Bearing Fault Diagnosis Based on Shapelets Time Series
    Li K.
    Yan H.
    Gu J.
    Su L.
    Su W.
    Xue Z.
    [J]. Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2022, 33 (24): : 2990 - 2996+3006
  • [8] Towards the generalization of time series classification: A feature-level style transfer and multi-source transfer learning perspective
    Chen, Baihan
    Li, Qiaolin
    Ma, Rui
    Qian, Xiang
    Wang, Xiaohao
    Li, Xinghui
    [J]. Knowledge-Based Systems, 2024, 299
  • [9] Multi-source Transfer Learning for Deep Reinforcement Learning
    Garcia-Ramirez, Jesus
    Morales, Eduardo
    Escalante, Hugo Jair
    [J]. PATTERN RECOGNITION (MCPR 2021), 2021, 12725 : 131 - 140
  • [10] Bayesian neural multi-source transfer learning
    Chandra, Rohitash
    Kapoor, Arpit
    [J]. NEUROCOMPUTING, 2020, 378 : 54 - 64
12345