UB Paderborn / Katalog / Suche / in CDI

Admissible kernels for RKHS embedding of probability distributions

Statistical papers (Berlin, Germany), 2021-06, Vol.62 (3), p.1499-1518

2021

Volltextzugriff (PDF)

Convergence of deep convolutional neural networks

Neural networks, 2022-09, Vol.153, p.553-563

2022

Volltextzugriff (PDF)

Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths

IEEE transactions on information theory, 2024-08, p.1-1

2024

Volltextzugriff (PDF)

Convergence of deep ReLU networks

Neurocomputing (Amsterdam), 2024-02, Vol.571, p.127174, Article 127174

2024

Volltextzugriff (PDF)

Learning rates for multi-task regularization networks

Neurocomputing (Amsterdam), 2021-11, Vol.466, p.243-251

2021

Volltextzugriff (PDF)

Generalized semi-inner products with applications to regularized learning

Journal of mathematical analysis and applications, 2010-12, Vol.372 (1), p.181-196

2010

Volltextzugriff (PDF)

Characterizing the Hilbert transform by the Bedrosian theorem

Journal of mathematical analysis and applications, 2008-02, Vol.338 (2), p.1477-1481

2008

Volltextzugriff (PDF)

Learning rates of multitask kernel methods

Mathematical methods in the applied sciences, 2023-06, Vol.46 (9), p.11212-11228

2023

Volltextzugriff (PDF)

Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression

Neural computation, 2011-10, Vol.23 (10), p.2713-2729

2011

Volltextzugriff (PDF)

Statistical margin error bounds for L1-norm support vector machines

Neurocomputing (Amsterdam), 2019-04, Vol.339, p.210-216

2019

Volltextzugriff (PDF)

Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces

Neural computation, 2017-11, Vol.29 (11), p.3078-3093

2017

Volltextzugriff (PDF)

Sharp exponential bounds for the Gaussian regularized Whittaker–Kotelnikov–Shannon sampling series

Journal of approximation theory, 2019-09, Vol.245, p.73-82

2019

Volltextzugriff (PDF)

Exponential approximation of multivariate bandlimited functions from average oversampling

Applicable analysis, 2022-01, Vol.101 (1), p.63-80

2022

Volltextzugriff (PDF)

Frames, Riesz bases, and sampling expansions in Banach spaces via semi-inner products

Applied and computational harmonic analysis, 2011-07, Vol.31 (1), p.1-25

2011

Volltextzugriff (PDF)

Regularized learning in Banach spaces as an optimization problem: representer theorems

Journal of global optimization, 2012-10, Vol.54 (2), p.235-250

2012

Volltextzugriff (PDF)

Convergence Analysis of the Gaussian Regularized Shannon Sampling Series

Numerical functional analysis and optimization, 2017-02, Vol.38 (2), p.224-247

2017

Volltextzugriff (PDF)

Multidimensional Analytic Signals and the Bedrosian Identity

Integral equations and operator theory, 2014-03, Vol.78 (3), p.301-321

Zhang, Haizhang

2014

Volltextzugriff (PDF)

Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.8097-8110

2024

Volltextzugriff (PDF)

Dual Information Enhanced Multiview Attributed Graph Clustering

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-12

2024

Volltextzugriff (PDF)

Mechanistic insight into electron orientation by tailoring Ni–Cu atom-pairs for high-performance CO2 electroreduction

Applied catalysis. B, Environmental, 2023-08, Vol.330, p.122654, Article 122654

2023

Volltextzugriff (PDF)

Vector-valued reproducing kernel Banach spaces with applications to multi-task learning

Journal of Complexity, 2013-04, Vol.29 (2), p.195-215

2013

Volltextzugriff (PDF)

Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm

Journal of Complexity, 2021-04, Vol.63, Article 101514

2021

Volltextzugriff (PDF)

Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ 1 norm

Journal of Complexity, 2021-04, Vol.63, p.101514, Article 101514

2021

Volltextzugriff (PDF)

A Tensor Approach for Uncoupled Multiview Clustering

IEEE transactions on cybernetics, 2024-02, Vol.54 (2), p.1-14

2024

Volltextzugriff (PDF)

Orthogonality from disjoint support in reproducing kernel Hilbert spaces

Journal of mathematical analysis and applications, 2009, Vol.349 (1), p.201-210

Zhang, Haizhang

2009

Volltextzugriff (PDF)

Menü

Weitere Dienste

Einstellungen

Admissible kernels for RKHS embedding of probability distributions

Convergence of deep convolutional neural networks

Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths

Convergence of deep ReLU networks

Learning rates for multi-task regularization networks

Generalized semi-inner products with applications to regularized learning

Characterizing the Hilbert transform by the Bedrosian theorem

Learning rates of multitask kernel methods

Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression

Statistical margin error bounds for L1-norm support vector machines

Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces

Sharp exponential bounds for the Gaussian regularized Whittaker–Kotelnikov–Shannon sampling series

Exponential approximation of multivariate bandlimited functions from average oversampling

Frames, Riesz bases, and sampling expansions in Banach spaces via semi-inner products

Regularized learning in Banach spaces as an optimization problem: representer theorems

Convergence Analysis of the Gaussian Regularized Shannon Sampling Series

Multidimensional Analytic Signals and the Bedrosian Identity

Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering

Dual Information Enhanced Multiview Attributed Graph Clustering

Mechanistic insight into electron orientation by tailoring Ni–Cu atom-pairs for high-performance CO2 electroreduction

Vector-valued reproducing kernel Banach spaces with applications to multi-task learning

Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ1 norm

Multi-task Learning in vector-valued reproducing kernel Banach spaces with the ℓ 1 norm

A Tensor Approach for Uncoupled Multiview Clustering

Orthogonality from disjoint support in reproducing kernel Hilbert spaces

Suchergebnisse filtern