2025
Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications
AAAI 2025technical
Time sequences are essential in fields such as finance, healthcare, and environmental science, where understanding temporal dependencies and making accurate predictions are crucial. These sequences often exhibit complexities like nonlinearity, noise, and concept drift. Traditional models struggle to…