Multi-scale Attention Flow for Probabilistic Time Series Forecasting

no code implementations • 16 May 2022 • Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao

The probability prediction of multivariate time series is a notoriously challenging but practical task.

Position Probabilistic Time Series Forecasting +1

Adaptive Course Recommendation System

no code implementations • journal 2021 • Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong liu, Pengcheng Wu

In this paper, we propose a novel course recommendation framework, named Dynamic Attention and hierarchical Reinforcement Learning (DARL), to improve the adaptivity of the recommendation model.

Hierarchical Reinforcement Learning