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Better Short than Greedy: Interpretable Models through Optimal Rule Boosting.

, , , and . SDM, page 351-359. SIAM, (2021)

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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.MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification., , and . CoRR, (2020)Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes., , , and . CoRR, (2017)MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification, , , and . (2021)cite arxiv:2102.00457.ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning., , , , , , , and . Briefings Bioinform., (2022)Large Language Models for Scientific Synthesis, Inference and Explanation., , , , , , and . CoRR, (2023)Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey., , , , , and . CoRR, (2023)OPUS: An Efficient Admissible Algorithm for Unordered Search.. Journal of Artificial Intelligence Research, 3 (1): 431--465 (1995)Finding the Real Patterns.. PAKDD, volume 4426 of Lecture Notes in Computer Science, page 6. Springer, (2007)Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers., and . PAKDD, volume 2637 of Lecture Notes in Computer Science, page 501-512. Springer, (2003)