Online deep learning based on auto-encoder-Reference-Cited by-同舟云学术

Online deep learning based on auto-encoder

Published:2021-01-09 Issue:8 Volume:51 Page:5420-5439
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Si-si,Liu Jian-wei,Zuo Xin,Lu Run-kun,Lian Si-ming

Funder

The National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-02058-8.pdf

Reference52 articles.

1. Shen Y, Chen T, Giannakis GB (2019) Random. Feature-based online multi-kernel learning in environments with unknown dynamics. J Mach Learn Res 20:22:1–22:36

2. Saad-Moamar M, Abdelhamid B (2020) Online active learning for human activity recognition from sensory data streams. Neural Computation 390:341–358

3. Tianlin S, Jun Z (2017) Online bayesian passive-aggressive learning. J Mach Learn Res 18:33:1–33:39

4. Jesús López L, Ser JD, Bifet A et al (2020) Spiking neural networks and online learning: an overview and perspectives. Neural Netw 121:88–100

5. Lobo JL, Ibai L, Javier DS et al (2018) Evolving spiking neural networks for online learning over drifting data streams. Neural Netw 108:1–19

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on the knowledge embedding vector method based on TF-IDF and Auto-Encoder;2023 4th International Conference on Machine Learning and Computer Application;2023-10-27

2. Online Deep Learning for High-Speed Train Traction Motor Temperature Prediction;IEEE Transactions on Transportation Electrification;2023

3. Deep variational models for collaborative filtering-based recommender systems;Neural Computing and Applications;2022-12-09