Preprint Open access
TIGER: Time-Series Classification with In-Context-Learning Gated Ensemble of Representations
A representation family is a distinct way of extracting features from time series. Ensemble algorithms that combine several representation families remain the most accurate approach to time series classification. Current state-of-the-art ensembles, most notably HIVE-COTE~2.0, pair a bespoke classification algorithm wit …