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An ambient intelligence approach for learning in smart robotic environments., , , , , и . Comput. Intell., 35 (4): 1060-1087 (2019)Modeling adaptive kernels from probabilistic phylogenetic trees., и . Artif. Intell. Medicine, 45 (2-3): 125-134 (2009)Discrete-time dynamic graph echo state networks., и . Neurocomputing, (2022)Deep reservoir computing: A critical experimental analysis., , и . Neurocomputing, (2017)PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs., , и . J. Open Source Softw., 8 (90): 5713 (октября 2023)An input-output hidden Markov model for tree transductions., , и . Neurocomputing, (2013)Universal Approximation Capability of Cascade Correlation for Structures., , и . Neural Comput., 17 (5): 1109-1159 (2005)Minimum Spanning Set Selection in Graph Kernels., и . GbRPR, том 14121 из Lecture Notes in Computer Science, стр. 15-24. Springer, (2023)A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data., и . AI*AAL@AI*IA, том 1803 из CEUR Workshop Proceedings, стр. 33-42. CEUR-WS.org, (2016)Reservoir Topology in Deep Echo State Networks., и . ICANN (Workshop), том 11731 из Lecture Notes in Computer Science, стр. 62-75. Springer, (2019)