Works matching DE "HILBERT space"
Results: 5000
Mean random dynamical systems and random attractors of stochastic Hopfield neural models with locally Lipschitz noise and time delay.
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- Journal of Difference Equations & Applications, 2025, v. 31, n. 3, p. 389, doi. 10.1080/10236198.2024.2427631
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Ornstein–Uhlenbeck processes in Hilbert space and autoregressive moving-average time series.
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- Stochastics: An International Journal of Probability & Stochastic Processes, 2025, v. 97, n. 1, p. 55, doi. 10.1080/17442508.2024.2422122
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Probabilistic analysis of the (q, 2)-Fock space: vacuum distribution and moments of the field operator.
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- Stochastics: An International Journal of Probability & Stochastic Processes, 2024, v. 96, n. 8, p. 2110, doi. 10.1080/17442508.2024.2390095
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On the S-asymptotically ω-periodic mild solutions for multi-term time fractional measure integro-differential equations.
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- Stochastics: An International Journal of Probability & Stochastic Processes, 2024, v. 96, n. 5, p. 1507, doi. 10.1080/17442508.2023.2300290
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Solving stochastic equations with unbounded nonlinear perturbations.
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- Stochastics: An International Journal of Probability & Stochastic Processes, 2024, v. 96, n. 3, p. 1143, doi. 10.1080/17442508.2023.2258248
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Sampling in Shift‐Invariant Spaces Generated by Hilbert Space‐Valued Functions.
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- Mathematical Methods in the Applied Sciences, 2025, v. 48, n. 6, p. 6717, doi. 10.1002/mma.10710
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Magic spreading in random quantum circuits.
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- Nature Communications, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41467-025-57704-x
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Geometric Learning with Positively Decomposable Kernels.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Infinite-Dimensional Diffusion Models.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Spectral Regularized Kernel Goodness-of-Fit Tests.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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A General Framework for the Analysis of Kernel-based Tests.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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On Sufficient Graphical Models.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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FineMorphs: Affne-Diffeomorphic Sequences for Regression.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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The Nyström method for convex loss functions.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Statistical Inference for Fairness Auditing.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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On Regularized Radon-Nikodym Differentiation.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Localisation of Regularised and Multiview Support Vector Machine Learning.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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On the Optimality of Misspecified Spectral Algorithms.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Recursive Estimation of Conditional Kernel Mean Embeddings.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Pure Differential Privacy for Functional Summaries with a Laplace-like Process.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Characterization of translation invariant MMD on R<sup>d</sup> and connections with Wasserstein distances.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Functional Directed Acyclic Graphs.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Post-Regularization Confidence Bands for Ordinary Differential Equations.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Kernel Thinning.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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Trace regularization problem for a fourth‐order differential operator on separable Banach space.
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- Mathematical Methods in the Applied Sciences, 2025, v. 48, n. 4, p. 4578, doi. 10.1002/mma.10564
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2-WOVEN FRAMES IN 2-HILBERT SPACES.
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- South East Asian Journal of Mathematics & Mathematical Sciences, 2024, v. 20, n. 3, p. 279, doi. 10.56827/SEAJMMS.2024.2003.21
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Modified Inertial Method for Solving Bilevel Split Quasimonotone Variational Inequality and Fixed Point Problems.
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- Azerbaijan Journal of Mathematics, 2025, v. 15, n. 1, p. 169, doi. 10.59849/2218-6816.2025.1.169
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Duality and Preservation of Continuous K-J-Frames in Krein Spaces.
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- Azerbaijan Journal of Mathematics, 2025, v. 15, n. 1, p. 53, doi. 10.59849/2218-6816.2025.1.53
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Strongly convergent two-step inertial algorithm for a class of bilevel variational inequalities.
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- Computational & Applied Mathematics, 2025, v. 44, n. 3, p. 1, doi. 10.1007/s40314-024-03078-7
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Strongly convergent two-step inertial algorithm for a class of bilevel variational inequalities.
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- Computational & Applied Mathematics, 2025, v. 44, n. 2, p. 1, doi. 10.1007/s40314-024-03078-7
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New inertial self-adaptive algorithms for the split feasibility problem with multiple output sets: New inertial self-adaptive algorithms for the split feasibility...: E. Nazari.
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- Computational & Applied Mathematics, 2025, v. 44, n. 2, p. 1, doi. 10.1007/s40314-024-03011-y
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Horocyclic harmonic Bergman spaces on homogeneous trees.
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- Analysis & Applications, 2025, v. 23, n. 3, p. 447, doi. 10.1142/S0219530524500350
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REVERSE AND FORWARD ORDER LAWS OF CERTAIN INVERSES.
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- Journal of Mathematical Analysis, 2025, v. 16, n. 1, p. 56, doi. 10.54379/jma-2025-1-4
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P-MEAN (μ1, μ2)-PSEUDO ALMOST PERIODIC PROCESSES AND APPLICATION TO INTEGRO-DIFFERENTIAL STOCHASTIC EVOLUTION EQUATIONS.
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- Electronic Journal of Differential Equations, 2024, p. 1, doi. 10.58997/ejde.2024.24
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Seasonal Periodic Autoregressive Processes with Values in Hilbert Spaces.
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- Journal of Mathematical Extension, 2024, v. 18, n. 12, p. 1
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On the convergence of an implicit and relaxed Krasnoselskii-Mann type process for nonexpansive mappings.
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- Note di Matematica, 2024, v. 44, n. 2, p. 127, doi. 10.1285/i15900932v44n2p127
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Further inequalities for the numerical radii of Hilbert space operators.
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- Journal of Linear & Topological Algebra, 2024, v. 13, n. 4, p. 217
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Geometry of Numerical Range of Linear Operator Polynomial.
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- Chinese Annals of Mathematics, 2025, v. 46, n. 1, p. 151, doi. 10.1007/s11401-025-0008-1
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Essential Numerical Ranges of Linear Relations and Singular Discrete Linear Hamiltonian Systems.
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- Chinese Annals of Mathematics, 2025, v. 46, n. 1, p. 63, doi. 10.1007/s11401-025-0004-5
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Covariant projective representations of Hilbert–Lie groups.
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- Journal für die Reine und Angewandte Mathematik, 2025, v. 2025, n. 820, p. 1, doi. 10.1515/crelle-2024-0083
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An IID Test for Functional Time Series with Applications to High-Frequency VIX Index Data.
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- Risks, 2025, v. 13, n. 2, p. 25, doi. 10.3390/risks13020025
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The weighted Davis-Wielandt Berezin number for reproducing kernel Hilbert space operators.
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- Journal of Inequalities & Applications, 2025, v. 2025, n. 1, p. 1, doi. 10.1186/s13660-025-03255-0
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Asymptotic normality for kernel-based test of conditional mean independence in Hilbert space.
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- Mathematica Slovaca, 2025, v. 75, n. 1, p. 215, doi. 10.1515/ms-2025-0017
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Kernel Angle Dependence Measures in Metric Spaces.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 280, doi. 10.1080/10618600.2024.2357620
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