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The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit., , и . CoRR, (2016)Knowledge Transfer Between Artificial Intelligence Systems., , , и . CoRR, (2017)A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning., , и . GSI (1), том 14071 из Lecture Notes in Computer Science, стр. 560-568. Springer, (2023)Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation., , , , , и . IJCNN, стр. 1-8. IEEE, (2022)Adaptive Observers and Parameter Estimation for a Class of Systems Nonlinear in the Parameters., , , и . CoRR, (2009)Relative intrinsic dimensionality is intrinsic to learning., , , и . CoRR, (2023)Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems., , и . CDC, стр. 1557-1562. IEEE, (2014)Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers., , , и . IJCNN, стр. 1-6. IEEE, (2019)Efficient state synchronisation in model-based testing through reinforcement learning., , , и . ASE, стр. 368-380. IEEE, (2021)Correction of AI systems by linear discriminants: Probabilistic foundations., , , , и . CoRR, (2018)