Results 51 to 60 of about 427,529 (281)

Kink estimation in stochastic regression with dependent errors and predictors

, 2010
In this article we study the estimation of the location of jump points in the first derivative (referred to as kinks) of a regression function \mu in two random design models with different long-range dependent (LRD) structures.
Kulik, Rafal, Wishart, Justin
core   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) [PDF]

, 2013
We consider the stochastic approximation problem where a convex function has to be minimized, given only the knowledge of unbiased estimates of its gradients at certain points, a framework which includes machine learning methods based on the minimization
Bach, Francis, Moulines, Eric
core   +3 more sources

Bioinspired Shape‐Memory Hook Fasteners With Programmable Interlocking and Silent Release

Advanced Engineering Materials, EarlyView.
Bioinspired hook fasteners made from epoxy shape‐memory polymers are shown to switch between strong, secure attachment and gentle, silent release when heated. By combining programmable geometry and material response, these adaptive fasteners outperform commercial systems in strength and noise control, enabling new solutions for robotics, medical ...
Maria I. Vallejo Ciro, Manuel J. Carvajal Loaiza, Rahaf Homssi, Vanessa Restrepo   +3 more
wiley   +1 more source

Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent [PDF]

, 2014
We propose a new two stage algorithm LING for large scale regression problems. LING has the same risk as the well known Ridge Regression under the fixed design setting and can be computed much faster. Our experiments have shown that LING performs well in
Foster, Dean P., Lu, Yichao
core  

High‐Resolution and Real‐Time In Situ Generation of Cellular Spheroids by Laser‐Assisted Bioprinting for Guided Microvascularization

Advanced Functional Materials, EarlyView.
Micro‐injection laser‐assisted bioprinting enables ultrafast and precise patterning of small endothelial cell spheroids by injecting a highly concentrated single‐cell suspension into GelMA/ColMA hydrogels. In co‐culture with fibroblasts, controlled pre‐vasculogenic network formation is obtained at microscale resolution.
Charles Handschin, Katharina Wulz, Clotilde Jugie, Marie‐Laure Stachowicz, Shane Fennell, Aurélien Mazet, Malou Lea, Nathalie Dusserre, Jean‐Christophe Fricain, Hugo Oliveira   +9 more
wiley   +1 more source

Heteroscedastic sparse Gaussian process regression-based stochastic material model for plastic structural analysis

Scientific Reports, 2022
Describing the material flow stress and the associated uncertainty is essential for the plastic stochastic structural analysis. In this context, a data-driven approach-heteroscedastic sparse Gaussian process regression (HSGPR) with enhanced efficiency is
Baixi Chen, Luming Shen, Hao Zhang
doaj   +1 more source

Fatigue strength assessment of riveted railway bridge details based on regression analyses combined with probabilistic models

Journal of Materials Research and Technology, 2023
With the increasing attention on structural reliability and integrity, the probabilistic fatigue behaviour of riveted joints is drawn more attention, more specifically in the influence that this may have on the fatigue damage accumulation evaluation of ...
José Correia, António Mourão, Haohui Xin, Abílio De Jesus, Túlio Bittencourt, Rui Calçada, Filippo Berto   +6 more
doaj   +1 more source

Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies

, 2017
We revisit the stochastic limited-memory BFGS (L-BFGS) algorithm. By proposing a new framework for the convergence analysis, we prove improved convergence rates and computational complexities of the stochastic L-BFGS algorithms compared to previous works.
Haskell, William B., Tan, Vincent Y. F., Zhao, Renbo   +2 more
core   +1 more source

Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice

Advanced Healthcare Materials, EarlyView.
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec, Randy Lee, Jingming Cao, Sophie Marolleau, Julien Nicolas, Sébastien Benzekry   +5 more
wiley   +1 more source