Results 81 to 90 of about 163,423 (274)
Knitted Pneumatic Fabrics for Dynamic Pressure Modulation in Personalized Healthcare Wearables
Advanced Science, EarlyView.A pneumatic pressure‐regulating knitted fabric (PPKF) is developed, in which knitted pneumatic circuit enables the seamless integration of ultralow radial expansion pneumatic fiber into dual‐channel textile structure. By strategically modulating channel spacing, delivering adjustable dynamic pressures and clinically relevant gradient compression ratios.
Xiaoyu Chen +5 more
wiley +1 more source
Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces [PDF]
The computation of robust regression estimates often relies on minimization of a convex functional on a convex set. In this paper we discuss a general technique for a large class of convex functionals to compute the minimizers iteratively which is ...
Bissantz, Nicolai +3 more
core
Softplus Regressions and Convex Polytopes
, 2016 33 pages + 12 page appendix, 15 figures, 10 ...
openaire +2 more sources
Multi-task learning regression via convex clustering
Computational Statistics & Data AnalysisMulti-task learning (MTL) is a methodology that aims to improve the general performance of estimation and prediction by sharing common information among related tasks. In the MTL, there are several assumptions for the relationships and methods to incorporate them.
Akira Okazaki, Shuichi Kawano
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A Convex Framework for Fair Regression
, 2017 We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the rang from notions of group fairness to strong individual fairness.
Berk, Richard +7 more
openaire +2 more sources
Faithful variable screening for high-dimensional convex regression
The Annals of Statistics, 2016 We study the problem of variable selection in convex nonparametric regression. Under the assumption that the true regression function is convex and sparse, we develop a screening procedure to select a subset of variables that contains the relevant variables.
Xu, Min, Chen, Minhua, Lafferty, John
openaire +3 more sources
Advanced Science, EarlyView.This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Orthogonality conditions for convex regression
Econometric identification generally relies on orthogonality conditions, which usually state that the random error term is uncorrelated with the explanatory variables. In convex regression, the orthogonality conditions for identification are unknown.
Dai, Sheng, Kuosmanen, Timo, Zhou, Xun
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StatsWe propose an unbiased restricted estimator that leverages prior information to enhance estimation efficiency for the linear regression model. The statistical properties of the proposed estimator are rigorously examined, highlighting its superiority over
Mustafa I. Alheety +2 more
doaj +1 more source
Advanced Science, EarlyView.ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao +12 more
wiley +1 more source