Results 71 to 80 of about 161,671 (322)

Protective Effects of Socioeconomic Status and Lifestyle on Amyloid‐ and White Matter Hyperintensity‐Related Longitudinal Brain Atrophy and Cognitive Decline

open access: yesAnnals of Neurology, EarlyView.
Objective Socioeconomic status (SES) and lifestyle activities (LA) are strongly related, and both are associated with dementia risk. We investigated the influence of SES and LA on brain atrophy and cognitive decline considering amyloid‐beta (Aβ) positron emission tomography and white matter hyperintensity (WMH) load.
Dario Bachmann   +11 more
wiley   +1 more source

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) [PDF]

open access: yes, 2015
We introduce a new structured kernel interpolation (SKI) framework, which generalises and unifies inducing point methods for scalable Gaussian processes (GPs).
Nickisch, Hannes, Wilson, Andrew Gordon
core   +2 more sources

Sobolev algebras through heat kernel estimates [PDF]

open access: yesJournal de l’École polytechnique — Mathématiques, 2016
On a doubling metric measure space $(M,d, )$ endowed with a "carr du champ", let $\mathcal{L}$ be the associated Markov generator and $\dot L^{p}_ (M,\mathcal{L}, )$ the corresponding homogeneous Sobolev space of order $00}$ for the spaces $\dot L^{p}_ (M,\mathcal{L}, ) \cap L^\infty(M, )$ to be algebras for the pointwise product.
Bernicot, Frédéric   +2 more
openaire   +3 more sources

Transfer Learning‐Based Data‐Fusion Model Framework for State of Health Estimation of Power Battery Packs

open access: yesBattery Energy, EarlyView.
To handle nonlinearity and feature coupling, a data‐driven aging model is proposed, employing dual Gaussian Process Regressions and transfer learning to enhance model efficiency and accuracy. Adaptive filtering refines the model by integrating aging features and output capacity, resulting in a closed‐loop data fusion framework for SOH estimation ...
Zhiqiang Lyu   +3 more
wiley   +1 more source

A probabilistic diagnostic for Laplace approximations: Introduction and experimentation

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley   +1 more source

On the solution of the convolution equation with a sum-difference kernel

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2015
The paper deals with the integral equations of the second kind with a sumdifference kernel. These equations describe a series of physical processes in a medium with a reflective boundary.
Ani G Barseghyan
doaj   +1 more source

Accelerating the computation for real-time application of the sinc function using graphics processing units

open access: yesJournal of Analytical Science and Technology, 2020
In magnetic resonance imaging, the fidelity of image reconstruction is an important criterion. It has been suggested that the infinite-extent sinc kernel is the ideal interpolation kernel for ensuring the reconstruction quality of non-Cartesian ...
Sangwoo Kim, Chulhyun Lee
doaj   +1 more source

Strong endomorphism kernel property for monounary algebras [PDF]

open access: yesMathematica Bohemica, 2018
All monounary algebras which have strong endomorphism kernel property are described.
Emília Halušková
doaj   +1 more source

Excellence of function fields of conics

open access: yes, 2015
For every generalized quadratic form or hermitian form over a division algebra, the anisotropic kernel of the form obtained by scalar extension to the function field of a smooth projective conic is defined over the field of constants.
Merkurjev, Alexander S.   +1 more
core   +1 more source

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