Results 71 to 80 of about 376,437 (294)

Smoothed universal correlations in the two-dimensional Anderson model [PDF]

open access: yes, 1998
We report on calculations of smoothed spectral correlations in the two-dimensional Anderson model for weak disorder. As pointed out in (M. Wilkinson, J. Phys. A: Math. Gen.
A. Pandey   +50 more
core   +4 more sources

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

Does Long‐Term Lower Extremity Strength Training in Adults With Knee Osteoarthritis and Varus Alignment Reduce Knee Joint Loading During Gait?

open access: yesArthritis Care &Research, EarlyView.
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier   +12 more
wiley   +1 more source

Estimation of Double Smoothing Parameters with Simulation [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2004
In this paper we estimate that the equation of smoothing to the first Smoothing is the same equation of double exponentioal smoothing, and finding the equation of prediction of two state first: the variance of the original time cerise  xt ,( σ2xt )is the
Fadel Al-Taie
doaj   +1 more source

Input and Weight Space Smoothing for Semi-supervised Learning

open access: yes, 2018
We propose regularizing the empirical loss for semi-supervised learning by acting on both the input (data) space, and the weight (parameter) space. We show that the two are not equivalent, and in fact are complementary, one affecting the minimality of ...
Cicek, Safa, Soatto, Stefano
core   +1 more source

Clinical, histological, and serological predictors of renal function loss in lupus nephritis.

open access: yesArthritis Care &Research, Accepted Article.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang   +21 more
wiley   +1 more source

Locally Regularized Smoothing B-Snake

open access: yesEURASIP Journal on Advances in Signal Processing, 2007
We propose a locally regularized snake based on smoothing-spline filtering. The proposed algorithm associates a regularization process with a force equilibrium scheme leading the snake's deformation.
Velut Jérôme   +2 more
doaj   +2 more sources

Unsupervised estimation of dirichlet smoothing parameters

open access: yesProceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 2010
A standard approach for determining a Dirichlet smoothing parameter is to choose a value which maximizes a retrieval performance metric using training data consisting of queries and relevance judgments. There are, however, situations where training data does not exist or the queries and relevance judgments do not reflect typical user information needs ...
Jangwon Seo, W. Bruce Croft
openaire   +2 more sources

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Empirical Smoothing Parameter Selection in Adaptive Estimation

open access: yesThe Annals of Statistics, 1992
The paper deals with selecting the smoothing parameter involved in the construction of adaptive estimates for the symmetric location model. In \textit{P. J. Bickel's} [Ann. Stat. 10, 647-671 (1982; Zbl 0489.62033)] original paper on adaptivity a necessary condition for adaption was given.
openaire   +2 more sources

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