Results 11 to 20 of about 4,927,965 (236)
Analytical Modeling of Magnetic Air-Gap Field Distribution Due to Armature Reaction
Energies, 2023 The following paper presents an analytical study of the air-gap magnetic field distribution produced by the armature reaction of a linear machine. Based on the method of images, the magnetic field generated by a current carrying conductor inside the air ...
Antonino Di Gerlando, Claudio Ricca
doaj +1 more source
Optimal approximation of piecewise smooth functions using deep ReLU neural networks [PDF]
Neural Networks, 2017 We study the necessary and sufficient complexity of ReLU neural networks - in terms of depth and number of weights - which is required for approximating classifier functions in an Lp-sense.
P. Petersen, Felix Voigtländer
semanticscholar +1 more source
IEEE Access, 2022 We present a method based on combining a smooth generalized pinball support vector machine (SVM) and variational autoencoders (VAEs) in chest X-ray (CXR) images.
Wachiraphong Ratiphaphongthon +2 more
doaj +1 more source
Smoothing Parameter and Model Selection for General Smooth Models [PDF]
, 2015 This article discusses a general framework for smoothing parameter estimation for models with regular likelihoods constructed in terms of unknown smooth functions of covariates. Gaussian random effects and parametric terms may also be present.
S. Wood, N. Pya, Benjamin Säfken
semanticscholar +1 more source
Smooth Muscle-Targeted Overexpression of Peroxisome Proliferator Activated Receptor-γ Disrupts Vascular Wall Structure and Function. [PDF]
PLoS ONE, 2015 Activation of the nuclear hormone receptor, PPARγ, with pharmacological agonists promotes a contractile vascular smooth muscle cell phenotype and reduces oxidative stress and cell proliferation, particularly under pathological conditions including ...
Jennifer M Kleinhenz +10 more
doaj +1 more source
Universal Smoothed Score Functions for Generative Modeling
, 2023 Technical ...
Saremi, Saeed +2 more
openaire +2 more sources
Out-of-Sample Prediction in Multidimensional P-Spline Models
Mathematics, 2021 The prediction of out-of-sample values is an interesting problem in any regression model. In the context of penalized smoothing using a mixed-model reparameterization, a general framework has been proposed for predicting in additive models but without ...
Alba Carballo +2 more
doaj +1 more source
Statistica Sinica, 2023 Summary: Smoothness penalties are efficient regularization and dimension reduction tools for functional regressions. However, for spiky functional data observed on a dense grid, the coefficient function in a functional regression can be spiky and, hence, the smoothness regularization is inefficient and leads to over-smoothing.
Luo, Ruiyan, Qi, Xin
openaire +2 more sources
Energies, 2020 To solve the contradiction between dynamic performance and steady-state performance of the robot system, a smooth-switching control strategy is proposed.
Anxing Liu, Haisheng Yu
doaj +1 more source
Adaptive smoothing spline estimator for the function-on-function linear regression model
Computational Statistics, 2022 AbstractIn this paper, we propose an adaptive smoothing spline (AdaSS) estimator for the function-on-function linear regression model where each value of the response, at any domain point, depends on the full trajectory of the predictor. The AdaSS estimator is obtained by the optimization of an objective function with two spatially adaptive penalties ...
Centofanti F. +4 more
openaire +3 more sources