Results 61 to 70 of about 207,837 (263)
Predictive overfitting in immunological applications: Pitfalls and solutions
Human Vaccines & Immunotherapeutics, 2023 Overfitting describes the phenomenon where a highly predictive model on the training data generalizes poorly to future observations. It is a common concern when applying machine learning techniques to contemporary medical applications, such as predicting
Jeremy P. Gygi +2 more
doaj +1 more source
Visco-elastic regularization and strain softening [PDF]
, 2006 In this paper it is intended to verify the capacity of regularization of the numerical solution of an elasto-plastic problem with linear strain softening. The finite element method with a displacement approach is used.
Silva, V. D. +5 more
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Advanced Functional Materials, EarlyView.Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
Iterative Regularization in Nonparametric Instrumental Regression [PDF]
We consider the nonparametric regression model with an additive error that is correlated with the explanatory variables. We suppose the existence of instrumental variables that are considered in this model for the identification and the estimation of the
Van Bellegem, Sébastien +2 more
core +2 more sources
First Results of Atmospheric Composition Retrieval using IASI-METOP and AIRS-AQUA Data [PDF]
, 2009 Regularization methods for the inversion of infrared nadir sounding observations are currently investigated. An iterative Runge-Kutta type method for nonlinear ill-posed problems has been implemented and its performance has been studied using synthetic ...
Doicu, Adrian +5 more
core
Advanced Functional Materials, EarlyView.A novel nonlinear infrasound sensor concept based on a free‐standing ion conductive gel membrane is introduced. Acoustic signals are directly transduced into an electrical signal using an internal application mechanisms (gating). The nonlinearity might be used for neuromorphic in‐sensor computing. ABSTRACT Measuring low‐frequency or infrasound acoustic
Maarten Mittmann +6 more
wiley +1 more source
Shenzhen Daxue xuebao. Ligong banTo address the deficiency of slow convergence rate and stagnation of error decay during later iteration of alternating direction method of multipliers (ADMM) for regularized extreme learning machine (RELM), we propose a dynamic step size ADMM-based RELM ...
LU Huihuang, ZOU Weidong, LI Yuxiang
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Convergence rates of general regularization methods for statistical inverse problems and applications [PDF]
During the past the convergence analysis for linear statistical inverse problems has mainly focused on spectral cut-off and Tikhonov type estimators. Spectral cut-off estimators achieve minimax rates for a broad range of smoothness classes and operators,
Bissantz, Nicolai +3 more
core
Advanced Materials, EarlyView.Cross‐sectional Lorentz TEM and off‐axis electron holography visualize the magnetic domain structure and quantify interlayer coupling in Fe3GeTe2/graphite/Fe3GeTe2 heterostructures. A stray‐field coupling length of 37±$\pm$7 nm marks the onset of domain misalignment between the layers.
Joachim Dahl Thomsen +6 more
wiley +1 more source