Results 21 to 30 of about 3,647,752 (207)
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
Wavelet Estimation of Function Derivatives from a Multichannel Deconvolution Model
Journal of Function Spaces, 2022 This paper considers a multichannel deconvolution model with Gaussian white noises. The goal is to estimate the d-th derivatives of an unknown function in the model.
Huijun Guo, Shuzi Li
doaj +1 more source
IET Image Processing, 2021 Various level‐set methods have been suggested for segmenting images with intensity inhomogeneity as local region‐based models. The challenge in these methods is segmenting the inhomogeneous images with smooth edges.
Asma Shamsi Koshki +4 more
doaj +1 more source
Smooth Twin Parametric Insensitive Support Vector Regression [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2022 As one of the machine learning methods, twin parametric insensitive support vector regression (TPISVR) had a simple mathematical model and good learning performance.
HUANG Huajuan, WEI Xiuxi, ZHOU Yongquan
doaj +1 more source
Estimation of smooth functionals in normal models: Bias reduction and asymptotic efficiency [PDF]
The Annals of Statistics, 2021 Let $X_1,\dots, X_n$ be i.i.d. random variables sampled from a normal distribution $N(μ,Σ)$ in ${\mathbb R}^d$ with unknown parameter $θ=(μ,Σ)\in Θ:={\mathbb R}^d\times {\mathcal C}_+^d,$ where ${\mathcal C}_+^d$ is the cone of positively definite covariance operators in ${\mathbb R}^d.$ Given a smooth functional $f:Θ\mapsto {\mathbb R}^1,$ the goal is
Koltchinskii, Vladimir, Zhilova, Mayya
openaire +3 more sources
Stochastic model-based minimization of weakly convex functions [PDF]
SIAM Journal on Optimization, 2018 We consider an algorithm that successively samples and minimizes stochastic models of the objective function. We show that under weak-convexity and Lipschitz conditions, the algorithm drives the expected norm of the gradient of the Moreau envelope to ...
Damek Davis, D. Drusvyatskiy
semanticscholar +1 more source
A general cubic spline smooth semi-supervised support vector machine
工程科学学报, 2015 This article is focused on the non-smooth problem of the semi-supervised support vector machine optimization model. A smooth semi-supervised support vector machine model was established. A general cubic spline function with 2 times differentiable at zero
ZHANG Xiao-dan, MA Jing-gai
doaj +1 more source
On model spaces and density of functions smooth on the boundary
Revista Matemática Iberoamericana, 2022 We characterize the model spaces K_\Theta in which functions with smooth boundary extensions are dense. It is shown that such approximations are possible if and only if the singular measure associated to the singular inner factor of
Limani, Adem, Malman, Bartosz
openaire +2 more sources
Control from Signal Temporal Logic Specifications with Smooth Cumulative Quantitative Semantics [PDF]
IEEE Conference on Decision and Control, 2019 We present a framework to synthesize control policies for nonlinear dynamical systems from complex temporal constraints specified in a rich temporal logic called Signal Temporal Logic (STL).
Iman Haghighi +3 more
semanticscholar +1 more source
Exploring smooth muscle phenotype and function in a bioreactor model of abdominal aortic aneurysm
Journal of Translational Medicine, 2013 BackgroundVascular smooth muscle cells (SMC) are central to arterial structure and function yet their involvement in the progression of abdominal aortic aneurysm (AAA) disease is not well studied.
K. Riches +10 more
semanticscholar +1 more source