Results 11 to 20 of about 3,647,752 (207)

Optimal approximation of piecewise smooth functions using deep ReLU neural networks [PDF]

open access: yesNeural 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

Analytical Modeling of Magnetic Air-Gap Field Distribution Due to Armature Reaction

open access: yesEnergies, 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

Estimation of semiparametric models when the criterion function is not smooth [PDF]

open access: yesEconometrica, 2003
We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a class of semiparametric optimization estimators where the criterion function does not obey standard smoothness conditions and simultaneously depends on some preliminary nonparametric estimators.
Xiaohong Chen   +2 more
openaire   +6 more sources

Smoothing Parameter and Model Selection for General Smooth Models [PDF]

open access: yes, 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

An Improved Technique for Pneumonia Infected Patients Image Recognition Based on Combination Algorithm of Smooth Generalized Pinball SVM and Variational Autoencoders

open access: yesIEEE 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

Smooth Muscle-Targeted Overexpression of Peroxisome Proliferator Activated Receptor-γ Disrupts Vascular Wall Structure and Function. [PDF]

open access: yesPLoS 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

Functional Coefficient Panel Modeling with Communal Smoothing Covariates [PDF]

open access: yesSSRN Electronic Journal, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Phillips, Peter C.b., Wang, Ying
openaire   +4 more sources

Out-of-Sample Prediction in Multidimensional P-Spline Models

open access: yesMathematics, 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

Conditional Models for Non-smooth Ranking Loss Functions [PDF]

open access: yes2009 Ninth IEEE International Conference on Data Mining, 2009
Learning to rank is an important area at the interface of machine learning, information retrieval and Web search. The central challenge in optimizing various measures of ranking loss is that the objectives tend to be non-convex and discontinuous. To make such functions amenable to gradient based optimization procedures one needs to design clever bounds.
Avinava Dubey   +3 more
openaire   +1 more source

Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS [PDF]

open access: yesInternational Symposium on Information Theory, 2020
Consider the problem of optimizing a black-box function under the assumption that the function is Holder smooth and has bounded norm in the reproducing kernel Hilbert space associated with a given kernel. We propose the LP-GP-UCB algorithm which augments
S. Shekhar, T. Javidi
semanticscholar   +1 more source

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