Results 61 to 70 of about 245,585 (258)
Frontiers in Neuroscience, 2023 Motor imagery (MI) electroencephalogram (EEG) signals have a low signal-to-noise ratio, which brings challenges in feature extraction and feature selection with high classification accuracy.
Manqing Wang +7 more
doaj +1 more source
, 2020 Constructing confidence intervals for the coefficients of high-dimensional sparse linear models remains a challenge, mainly because of the complicated limiting distributions of the widely used estimators, such as the lasso.
Li, Jingyi Jessica +2 more
core +1 more source
Serum Soluble Mediator Signatures of Lupus Nephritis: Histologic Features and Response to Treatment
Arthritis Care &Research, EarlyView.Objective Lupus nephritis (LN) management remains challenging, and novel noninvasive biomarkers are needed. This study quantified serum soluble mediators in the Accelerating Medicines Partnership (AMP) LN cohort to identify biomarkers of histologic features and treatment response.
Andrea Fava +48 more
wiley +1 more source
A Nonlinear Deep Learning Model for Oxygen Content of Flue Gas
Journal of Harbin University of Science and Technology, 2020 It is a deviation reality that lifespan of some products is described by common distributions. However，the ZZ distribution can better describe the lifespan distribution of this type of product.
TANG Zhenhao, LI Yanyan, CAO Shengxian
doaj +1 more source
Financial Distress and Its Determinants in Rheumatoid Arthritis
Arthritis Care &Research, EarlyView.Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent prolonged use of expensive disease‐modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or noninflammatory musculoskeletal disease (NIMSKD) completing the ...
Amber Brown Keebler +5 more
wiley +1 more source
Adding bias to reduce variance in psychological results: A tutorial on penalized regression [PDF]
Tutorials in Quantitative Methods for Psychology, 2017 Regression models are commonly used in psychological research. In most studies, regression coefficients are estimated via maximum likelihood (ML) estimation.
Helwig, Nathaniel E.
doaj +1 more source
Advanced Functional Materials, EarlyView.Zinc(II) coordination complexes with tunable aryloxy‐imine ligands exhibit controllable supramolecular self‐assembly into hierarchical fibrous structures. Coordination‐driven stacking, not π–π interactions, enables gelation, dynamic assembly/disassembly, and enhanced nanomechanical properties.
Merlin R. Stühler +10 more
wiley +1 more source
Elastic Net Regularization Paths for All Generalized Linear Models
Journal of Statistical Software, 2023 The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient algorithm for computing the elastic net regularization path for ordinary least ...
J. Kenneth Tay +2 more
doaj +1 more source
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
, 2015 Lasso is a seminal contribution to high-dimensional statistics, but it hinges on a tuning parameter that is difficult to calibrate in practice. A partial remedy for this problem is Square-Root Lasso, because it inherently calibrates to the noise variance.
Lederer, Johannes, Müller, Christian
core +1 more source
Advanced Functional Materials, EarlyView.Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim +5 more
wiley +1 more source