Super-Resolution Meets Machine Learning: Approximation of Measures von Mhaskar, H. N.

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A Low Discrepancy Sequence on Graphs von Cloninger, A., Mhaskar, H. N.

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Dimension independent bounds for general shallow networks von Mhaskar, H.N.

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A direct approach for function approximation on data defined manifolds von Mhaskar, H.N.

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Learning on manifolds without manifold learning von Mhaskar, H.N., O’Dowd, Ryan

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A generalized diffusion frame for parsimonious representation of functions on data defined manifolds von Mhaskar, H.N.

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An analysis of training and generalization errors in shallow and deep networks von Mhaskar, H.N., Poggio, T.

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Theory-Inspired Deep Network for Instantaneous-Frequency Extraction and Subsignals Recovery From Discrete Blind-Source Data von Han, Ningning, Mhaskar, H. N., Chui, Charles K.

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A manifold learning approach for gesture recognition from micro-Doppler radar measurements von Mason, E.S., Mhaskar, H.N., Guo, Adam

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Neural Networks for Optimal Approximation of Smooth and Analytic Functions von Mhaskar, H. N.

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Spherical Marcinkiewicz-Zygmund inequalities and positive quadrature von Mhaskar, H. N., Narcowich, F. J., Ward, J. D.

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Recent Applications of Harmonic Analysis to Function Spaces, Differential Equations, and Data Science: Novel Methods in Harmonic Analysis von Pesenson, Isaac, Gia, Quoc Thong Le, Mayeli, Azita, Mhaskar, Hrushikesh, Zhou, Ding-Xuan

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When is approximation by Gaussian networks necessarily a linear process? von Mhaskar, H.N.

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Frames and Other Bases in Abstract and Function Spaces: Novel Methods in Harmonic Analysis

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A minimum Sobolev norm technique for the numerical discretization of PDEs von Chandrasekaran, S., Mhaskar, H.N.

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Locally learning biomedical data using diffusion frames von Ehler, M, Filbir, F, Mhaskar, H N

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Minimum Sobolev norm interpolation with trigonometric polynomials on the torus von Chandrasekaran, S., Jayaraman, K.R., Mhaskar, H.N.

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Local approximation of operators von Mhaskar, H.N.

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Minimum Sobolev norm interpolation of scattered derivative data von Chandrasekaran, S., Gorman, C.H., Mhaskar, H.N.

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Smooth function extension based on high dimensional unstructured data von CHUI, CHARLES K., MHASKAR, H. N.

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