Results 61 to 70 of about 178,006 (285)

On the performance of some new ridge parameter estimators in the Poisson-inverse Gaussian ridge regression

Alexandria Engineering Journal, 2023
The Poisson Inverse Gaussian Regression model (PIGRM) is used for modeling the count datasets to deal with the issue of over-dispersion. Generally, the maximum likelihood estimator (MLE) is used to estimate the PIGRM estimates.
Asia Batool, Muhammad Amin, Ahmed Elhassanein   +2 more
doaj   +1 more source

Thermo‐Fluorescent Bactericidal Quantum Dots Based Smart Multifunctional Textiles via Molecular Surface Engineering and 3D‐Printed Interlocked Architectures

Advanced Healthcare Materials, EarlyView.
A versatile approach is presented for fabricating smart multifunctional textiles by integrating thermo‐fluorescent carbon dot/polymer nanocomposite coatings with 3D‐printed interlocked architectures. The fabrics exhibit temperature‐responsive fluorescence, durable hydrophobicity, strong antibacterial and antioxidant activity, and enhanced UV protection.
Poushali Das, Sayan Ganguly, Parham Khoshbakht Marvi, Misha Muthalali, Fatemeh Parniani, Shiza Hassan, Xiaowu (Shirley) Tang, Seshasai Srinivasan, Amin Reza Rajabzadeh   +8 more
wiley   +1 more source

Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization [PDF]

, 2013
We introduce a proximal version of the stochastic dual coordinate ascent method and show how to accelerate the method using an inner-outer iteration procedure. We analyze the runtime of the framework and obtain rates that improve state-of-the-art results
Shalev-Shwartz, Shai, Zhang, Tong
core   +1 more source

Semi-Supervised Ridge Regression with Adaptive Graph-Based Label Propagation

Applied Sciences, 2018
In order to overcome the drawbacks of the ridge regression and label propagation algorithms, we propose a new semi-supervised classification method named semi-supervised ridge regression with adaptive graph-based label propagation (SSRR-AGLP).
Yugen Yi, Yuqi Chen, Jiangyan Dai, Xiaolin Gui, Chunlei Chen, Gang Lei, Wenle Wang   +6 more
doaj   +1 more source

Superiority of the MCRR Estimator Over Some Estimators In A Linear Model [PDF]

المجلة العراقية للعلوم الاحصائية, 2011
Modified (r, k) class ridge regression (MCRR) which includes unbiased ridge regression (URR), (r, k) class, principal components regression (PCR) and the ordinary least squares (OLS) estimators is proposed in regression analysis, to overcome the problem ...
Feras Sh. M. Batah
doaj   +1 more source

3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface

Advanced Materials, EarlyView.
3D printed MRI‐compatible tissue‐like neural electrodes tailored to individual gyral patterns. This honeycomb‐inspired printable gel electrode (HiPGE) employs a bioinspired architecture with soft hydrogels, engineered to match the softness of brain tissue.
Marzia Momin, Luyi Feng, Xiaoai Chen, Salahuddin Ahmed, Basma AlMahmood, Li‐Pang Huang, Jiashu Ren, Xinyi Wang, Hyunjin Lee, Samuel R. Cramer, Nanyin Zhang, Sulin Zhang, Tao Zhou   +12 more
wiley   +1 more source

New ridge parameters for ridge regression [PDF]

Journal of the Association of Arab Universities for Basic and Applied Sciences, 2014
AbstractHoerl and Kennard (1970a) introduced the ridge regression estimator as an alternative to the ordinary least squares (OLS) estimator in the presence of multicollinearity. In ridge regression, ridge parameter plays an important role in parameter estimation.
openaire   +1 more source

Kernel Ridge Regression Inference

, 2023
We provide uniform confidence bands for kernel ridge regression (KRR), a widely used nonparametric regression estimator for nonstandard data such as preferences, sequences, and graphs. Despite the prevalence of these data--e.g., student preferences in school matching mechanisms--the inferential theory of KRR is not fully known.
Singh, Rahul, Vijaykumar, Suhas
openaire   +2 more sources

Modified Ridge Regression With Cook’s Distance for Semiparametric Regression Models

Journal of Mathematics
Multicollinearity and influential cases in semiparametric regression models lead to biased and unreliable estimates distorting leverage and residual patterns.
Najeeb Mahmood Khan, Muhammad Aman Ullah, Javaria Ahmad Khan, Salman Raza   +3 more
doaj   +1 more source

Study of a Novel Bi‐Layered Thermoplastic Polyurethane Patch for Congenital Diaphragmatic Hernia

Advanced Materials Interfaces, EarlyView.
Large congenital diaphragmatic hernia remains a challenge due to the poor compatibility of current prostheses. To tackle this problem, a bilayer thermoplastic polyurethane patch with tunable mechanical properties is engineered, whose fibrous side supports rapid fibroblast and myoblast colonization, while the smooth film limits adhesions.
Guillaume Leks, Julie Favre, Manon Zislin, Rodolphe Migneret, Jordana Hirtzel, Vincent Ball, Cendrine Seguin, Anne Hebraud, Emeline Lobry, Guy Schlatter, Nadia Bahlouli, Hamdi Jmal, Benoît Frisch, Sylvie Fournel, Isabelle Talon   +14 more
wiley   +1 more source