AI RESEARCH
Early Classification of Time Series in Non-Stationary Cost Regimes
arXiv CS.LG
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ArXi:2602.00918v2 Announce Type: replace Early Classification of Time Series (ECTS) addresses decision-making problems in which predictions must be made as early as possible while maintaining high accuracy. Most existing ECTS methods assume that the time-dependent decision costs governing the learning objective are known, fixed, and correctly specified. In practice, however, these costs are often uncertain and may change over time, leading to mismatches between