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Encouraging an Appropriate Representation Simplifies Training of Neural Networks.

. CoRR, (2019)

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Krisztian Antal Buza

Krisztián Szegedi

Krisztián Szegedi

Krisztián Kapinya

Krisztián Koháry

 

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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)Time Series Classification and its Applications.. WIMS, стр. 4:1-4:4. ACM, (2018)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)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)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)IQ estimation for accurate time-series classification., , и . CIDM, стр. 216-223. IEEE, (2011)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)Storage-optimizing clustering algorithms for high-dimensional tick data., , и . Expert Syst. Appl., 41 (9): 4148-4157 (2014)ParkinsoNET: Estimation of UPDRS Score Using Hubness-Aware Feedforward Neural Networks., и . Appl. Artif. Intell., 30 (6): 541-555 (2016)