A robust adaptive meta-sample generation method for few-shot time series prediction

A robust adaptive meta-sample generation method for few-shot time series prediction

Abstract The research and exploration of time series prediction (TSP) have attracted much attention recently. Researchers can achieve effective TSP based on the deep learning model and a large amount of data. However, when sufficient high-quality data are not available, the performance of prediction...

Full description

Saved in:
Bibliographic Details
Main Authors: Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Complex & Intelligent Systems
Subjects:
Few-shot time series prediction
Non-Gaussian distribution meta-learning
Robust adaptive sampling
Denoising diffusion probabilistic model
Dataset augmentation
Online Access:https://doi.org/10.1007/s40747-024-01638-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s40747-024-01638-2

Similar Items