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Encouraging an Appropriate Representation Simplifies Training of Neural Networks.. CoRR, (2019)Nearest neighbor regression in the presence of bad hubs., , и . Knowl. Based Syst., (2015)Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation., , , , , и . ICIAP (1), том 13231 из Lecture Notes in Computer Science, стр. 391-403. Springer, (2022)Community Structure Detection for the Functional Connectivity Networks of the Brain., , , , и . PPSN, том 9921 из Lecture Notes in Computer Science, стр. 633-643. Springer, (2016)Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data.. CORES, том 403 из Advances in Intelligent Systems and Computing, стр. 101-110. Springer, (2015)Extreme Learning Machines with Regularization for the Classification of Gene Expression Data., и . ITAT, том 2473 из CEUR Workshop Proceedings, стр. 99-103. CEUR-WS.org, (2019)Time Series Classification and its Applications.. WIMS, стр. 4:1-4:4. ACM, (2018)IQ estimation for accurate time-series classification., , и . CIDM, стр. 216-223. IEEE, (2011)GRAMOFON: General model-selection framework based on networks., , , и . Neurocomputing, 75 (1): 163-170 (2012)Storage-optimizing clustering algorithms for high-dimensional tick data., , и . Expert Syst. Appl., 41 (9): 4148-4157 (2014)