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Discovery of time-series motif from multi-dimensional data based on MDL principle

, , and . Machine Learning, 58 (2-3): 269--300 (2005)

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Organization by Conceptual Clustering of Video-Data based on Semantic Representation., and . FODO, page 241-248. (1998)Mining Association Rules from Multi-stream Time Series Data on Multiprocessor Systems., , , and . ISPA, volume 3758 of Lecture Notes in Computer Science, page 662-667. Springer, (2005)Generating diverse katakana variants based on phonemic mapping., , and . SIGIR, page 793-794. ACM, (2008)Stock Price Prediction by Deep Neural Generative Model of News Articles., , and . IEICE Trans. Inf. Syst., 101-D (4): 901-908 (2018)Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis., , and . IEEE Trans. Biomed. Eng., 66 (10): 2768-2779 (2019)TREC 2007 Blog Track Experiments at Kobe University., , , and . TREC, volume 500-274 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2007)Potential Topics Discovery from Topic Frequency Transition with Semi-supervised Learning., , and . ACIIDS (2), volume 7197 of Lecture Notes in Computer Science, page 477-486. Springer, (2012)Detecting Vital Documents Using Negative Relevance Feedback in Distributed Realtime Computation Framework., , and . PACLING, volume 593 of Communications in Computer and Information Science, page 193-208. Springer, (2015)Supervised Hypothesis Discovery Using Syllogistic Patterns in the Biomedical Literature., and . IJCAI, page 1663-1669. IJCAI/AAAI, (2013)Developing game AI agent behaving like human by mixing reinforcement learning and supervised learning., , , , and . SNPD, page 489-494. IEEE Computer Society, (2017)