AI RESEARCH
MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning
arXiv CS.LG
•
ArXi:2603.22074v1 Announce Type: new Due to the prevalence of temporal data and its inherent dependencies in many real-world problems, time series classification is of paramount importance in various domains. However, existing models often struggle with series of variable length or high dimensionality. This paper