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Yen-Ku Liu

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#machine learning Preprint Oct 2026

DISC: Domain-Integrated Similarity Cost for Time-Series Dataset

Domain-Integrated Similarity Cost (DISC), a learnable aggregation framework that uses calibration transfer observations to select, weight, and combine similarity metrics for different downstream tasks, is proposed and shows that time-series dataset similarity is task-dependent and that learned metric integration provid...

Yen-Ku Liu, Hong-Jie Chen, Franck Dernoncourt et al. · 0 citations

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