A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting-Reference-Cited by-同舟云学术

A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting

Published:2022 Issue: Volume: Page:1-16
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Deng Jinliang¹^ORCID,Chen Xiusi²,Jiang Renhe³^ORCID,Song Xuan⁴^ORCID,Tsang Ivor W.¹^ORCID

Affiliation:

1. Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, Australia

2. University of California, Los Angeles, USA

3. Center for Spatial Information Science, University of Tokyo, Tokyo, Japan

4. SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09935292.pdf?arnumber=9935292

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