Results 121 to 130 of about 1,777,436 (249)
An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces. [PDF]
Stat Sin, 2023 Zhang T, Simon N.
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ChemElectroChem, Volume 13, Issue 20, 16 October 2026.Electrochemical experiments reveal what happens, whereas first principles calculations explain why. Emerging computational electrochemistry is bridging these perspectives, enabling quantitative understanding of electrode/electrolyte interfaces and enabling the rational design of next‐generation energy storage materials.
Kenji Oqmhula, Ryo Maezono, Kenta Hongo
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Symmetric Operators and Reproducing Kernel Hilbert Spaces [PDF]
Complex Analysis and Operator Theory, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Testing for Genetic Interactions in Complex Disease With Distance Correlation
Biometrical Journal, Volume 68, Issue 5, October 2026.ABSTRACT Understanding epistasis (genetic interaction) may shed some light on the genomic basis of common diseases, including disorders of maximum interest due to their high socioeconomic burden, like schizophrenia. Distance correlation is an association measure that characterizes general statistical independence between random variables, not only the ...
Fernando Castro‐Prado +4 more
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SNR-enhanced diffusion MRI with structure-preserving low-rank denoising in reproducing kernel Hilbert spaces. [PDF]
Magn Reson Med, 2021 Ramos-Llordén G +5 more
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A new mean-Berezin norm for operators in reproducing kernel Hilbert spaces
Journal of Inequalities and ApplicationsA functional Hilbert space is defined as the Hilbert space K $\mathcal{K}$ of complex-valued functions defined on a set Θ. In this space, the evaluation functionals ψ ε ( h ) = h ( ε ) $\psi _{\varepsilon}(h) = h(\varepsilon )$ , for ε ∈ Θ $\varepsilon ...
Mojtaba Bakherad
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Human Brain Mapping, Volume 47, Issue 14, October 1, 2026.Resting‐state functional MRI (fMRI) connectivity reflects both stable electrophysiological coupling and frequency‐specific neural dynamics. Using simultaneous intracranial EEG–fMRI in 48 epilepsy patients, we show that static connectivity aligns with beta/low‐gamma coupling, whereas dynamic connectivity tracks alpha and beta fluctuations.
Tahereh Rashnavadi +5 more
wiley +1 more source
A Brief Introduction to Reproducing Kernel Hilbert Spaces
We present important results from Hilbert space and functional analysis for understanding the subject ofReproducing kernel Hilbert spaces. We then showcase the underlying theory and properties of Reproducingkernel Hilbert Spaces. Finally, we show how the
Eriksson, Gustav, Belin, Emil
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Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem
IEEE Open Journal of the Computer SocietyMotivated by the growing interest in representation learning approaches that uncover the latent structure of high-dimensional data, this work proposes new algorithms for reconstruction-based manifold learning within Reproducing-Kernel Hilbert Spaces ...
Enrique Feito-Casares +2 more
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Multikernel Adaptive Filters Under the Minimum Cauchy Kernel Loss Criterion
IEEE Access, 2019 The Cauchy loss has been successfully applied in robust learning algorithms in the presence of large outliers, but it may suffer from performance degradation in complex nonlinear tasks.
Wei Shi, Kui Xiong, Shiyuan Wang
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