Results 41 to 50 of about 726,689 (287)
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty
, 2015 We propose new methods to speed up convergence of the Alternating Direction Method of Multipliers (ADMM), a common optimization tool in the context of large scale and distributed learning.
Pavlovic, Vladimir +2 more
core +1 more source
Ridge Fusion in Statistical Learning [PDF]
, 2014 We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering.
Geyer, Charles J. +2 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem +17 more
wiley +1 more source
An Adversarial Attack via Penalty Method
IEEE AccessDeep learning systems have achieved significant success across various machine learning tasks. However, they are highly vulnerable to attacks. For example, adversarial examples can fool deep learning systems easily by perturbing inputs with small ...
Jiyuan Sun, Haibo Yu, Jianjun Zhao
doaj +1 more source
New Initial Parameter for the Constrained Optimization Method [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2006 In this paper, we have investigated a new initial parameter in the nonlinear constrained optimization method. The aim of this new method is to make a balance between interior and exterior method for constrained optimization.
Abbas Al-Bayati, Ban Mitras
doaj +1 more source
Smoothing Proximal Gradient Method for General Structured Sparse Learning [PDF]
, 2010 We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input or output sides. We consider two widely adopted types of such penalties as
Eric +5 more
core +3 more sources
Quantile regression in high-dimension with breaking [PDF]
, 2013 The paper considers a linear regression model in high-dimension for which the predictive variables can change the influence on the response variable at unknown times (called change-points).
Ciuperca, Gabriela
core +4 more sources
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +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