Results 41 to 50 of about 117,656 (306)
Analytic and bootstrap-after-cross-validation methods for selecting penalty parameters of high-dimensional M-estimators [PDF]
, 2022 We develop two new methods for selecting the penalty parameter for the e1-penalized high-dimensional M-estimator, which we refer to as the analytic and bootstrap-after-cross-validation methods.
Sørensen, Jesper R.-V. +1 more
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Nearest shrunken centroids via alternative genewise shrinkages. [PDF]
PLoS ONE, 2017 Nearest shrunken centroids (NSC) is a popular classification method for microarray data. NSC calculates centroids for each class and "shrinks" the centroids toward 0 using soft thresholding.
Byeong Yeob Choi, Eric Bair, Jae Won Lee
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
Penalty Method for Variational Inequalities
Advances in Applied Mathematics, 1997 The author studied the problem of the existence of a solution of a class of variational inequalities using the penalty method. The results are proved in an informal way. It should be noted that almost all results are known for more general classes of variational inequalities, see for example, \textit{N. Kikuchi} and \textit{J. T.
openaire +1 more source
Abstract and Applied Analysis, 2013 This paper presents two-level iteration penalty finite element methods to approximate the solution of the Navier-Stokes equations with friction boundary conditions.
Yuan Li, Rong An
doaj +1 more source
A penalty barrier framework for nonconvex constrained optimization [PDF]
Journal of Nonsmooth Analysis and OptimizationWe consider minimization problems with structured objective function and smooth constraints, and present a flexible framework that combines the beneficial regularization effects of (exact) penalty and interior-point methods.
Alberto De Marchi, Andreas Themelis
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
The use of positive and negative penalty functions in solving constrained optimization problems and partial differential equations [PDF]
, 2009 The Rayleigh-Ritz Method together with the Penalty Function Method is used to investigate the use of different types of penalty parameters. The use of artificial springs as penalty parameters is a very well established procedure to model constraints in ...
Monterrubio Salazar, Luis Emilio
core
Estimation of penalty parameters for symmetric interior penalty Galerkin methods [PDF]
, 2007 This paper presents computable lower bounds of the penalty parameters for stable and convergent symmetric interior penalty Galerkin methods. In particular, we derive the explicit dependence of the coercivity constants with respect to the polynomial ...
Epshteyn, Yekaterina +1 more
core +1 more source
Polarization Control Methods for Mitigating Four-Wave Mixing Effect in NG-EPON Networks
PhotonicsIn order to meet the growing traffic demands, the formulation of the NG-EPON protocol is under heated discussion. Therefore, for the wavelength allocation scheme of NG-EPON, adopting O-band wavelengths is considered as the potentially feasible solution ...
Yan Xu, Shuai Wang
doaj +1 more source