Power flow analysis of integrated energy microgrid considering non‐smooth characteristics
IET Generation, Transmission & Distribution, 2022 With the development of electric energy substitution technologies such as electric auxiliary heating, the relationship between electric energy and thermal energy is getting closer, and it is of great significance to in‐depth study of integrated energy ...
Yuntao Ju +6 more
doaj +1 more source
Generalized Additive Models with Unknown Link Function Including Variable Selection [PDF]
, 2013 The generalized additive model is a well established and strong tool that allows to model smooth effects of predictors on the response. However, if the link function, which is typically chosen as the canonical link, is misspecified, substantial bias is ...
Petry, Sebastian, Tutz, Gerhard
core +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
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
Automatic image segmentation method for cotton leaves with disease under natural environment
Journal of Integrative Agriculture, 2018 In order to improve the image segmentation performance of cotton leaves in natural environment, an automatic segmentation model of diseased leaf with active gradient and local information is proposed.
Jian-hua ZHANG +4 more
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 $N( , )$ in ${\mathbb R}^d$ with unknown parameter $ =( , )\in :={\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 $f: \mapsto {\mathbb R}^1,$ the ...
Koltchinskii, Vladimir, Zhilova, Mayya
openaire +3 more sources
Gene expression profiles during tissue remodeling following bladder outlet obstruction
Scientific Reports, 2021 Bladder outlet obstruction (BOO) often results in lower urinary tract symptoms (LUTSs) and negatively affects quality of life. Here, we evaluated gene expression patterns in the urinary bladder during tissue remodeling due to BOO.
Saya Ito +9 more
doaj +1 more source
Analysis of Hamilton-Jacobi-Bellman equations arising in stochastic singular control [PDF]
, 2011 We study the partial differential equation max{Lu - f, H(Du)}=0 where u is the unknown function, L is a second-order elliptic operator, f is a given smooth function and H is a convex function.
Hynd, Ryan
core +1 more source
Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes [PDF]
, 2016 Functional data are defined as realizations of random functions (mostly smooth functions) varying over a continuum, which are usually collected with measurement errors on discretized grids.
Bonferroni C. E. +8 more
core +1 more source
Model Consistency of Partly Smooth Regularizers [PDF]
IEEE Transactions on Information Theory, 2014 This paper studies least-square regression penalized with partly smooth convex regularizers. This class of penalty functions is very large and versatile, and allows to promote solutions conforming to some notion of low complexity.
Samuel Vaiter, G. Peyré, M. Fadili
semanticscholar +1 more source