Accurate forecasts are vital for supporting the decisions of modern
comp...
This paper introduces a novel meta-learning algorithm for time series
fo...
In this work we develop a distributed least squares approximation (DLSA)...
Interval forecasts have significant advantages in providing uncertainty
...
Feature-based time series representation has attracted substantial atten...
The explosion of time series data in recent years has brought a flourish...