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ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

, , and . (2019)cite arxiv:1910.13051Comment: 27 pages, 23 figures.

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Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data., , and . CoRR, (2024)ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels., , and . Data Min. Knowl. Discov., 34 (5): 1454-1495 (2020)Hydra: competing convolutional kernels for fast and accurate time series classification., , and . Data Min. Knowl. Discov., 37 (5): 1779-1805 (September 2023)HYDRA: Competing convolutional kernels for fast and accurate time series classification., , and . CoRR, (2022)MultiRocket: Effective summary statistics for convolutional outputs in time series classification., , , and . CoRR, (2021)MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification, , , and . (2021)cite arxiv:2102.00457.MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification., , and . CoRR, (2020)ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels, , and . (2019)cite arxiv:1910.13051Comment: 27 pages, 23 figures.MultiRocket: multiple pooling operators and transformations for fast and effective time series classification., , , and . Data Min. Knowl. Discov., 36 (5): 1623-1646 (2022)QUANT: A Minimalist Interval Method for Time Series Classification., , and . CoRR, (2023)