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Discovering compressing serial episodes from event sequences.

, , and . Knowl. Inf. Syst., 47 (2): 405-432 (2016)

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Memorization in Deep Neural Networks: Does the Loss Function Matter?, and . PAKDD (2), volume 12713 of Lecture Notes in Computer Science, page 131-142. Springer, (2021)Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees., , and . IJCNN, page 1-8. IEEE, (2018)Analyzing Similarities of Datasets Using a Pattern Set Kernel., , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 265-276. Springer, (2016)Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events., , and . COMAD/CODS, page 36-44. ACM, (2024)Robust Loss Functions under Label Noise for Deep Neural Networks., , and . AAAI, page 1919-1925. AAAI Press, (2017)Learning optimal conjunctive concepts through a team of stochastic automata., , and . IEEE Trans. Syst. Man Cybern., 23 (4): 1175-1184 (1993)Finite time analysis of the pursuit algorithm for learning automata., and . IEEE Trans. Syst. Man Cybern. Part B, 26 (4): 590-598 (1996)Fingerprint classification using a feedback-based line detector., and . IEEE Trans. Syst. Man Cybern. Part B, 34 (1): 85-94 (2004)Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization., and . IEEE Trans. Neural Networks Learn. Syst., 33 (10): 5728-5738 (2022)Discovering compressing serial episodes from event sequences., , and . Knowl. Inf. Syst., 47 (2): 405-432 (2016)