To address these problems, the sparse logistic regression (SLR) model solved by iterative hard thresholding (IHT) is applied to one-bit SAR imaging, and a new SLR-IHT imaging method is proposed. The ...

Background Data regarding long-term recovery from autoimmune encephalitis (AE) remain limited. Methods This retrospective ...

BACKGROUND: Fontan circulatory failure (FCF) is a chronic state in palliated single ventricle heart disease with high morbidity and mortality rates, including heart failure, multisystem end-organ ...

A pre-planned secondary analysis was performed in which the primary outcome was the dependent variable and treatment allocation, centre, type of surgery and age were included as covariates in a ...

Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

Added new types of reliability diagrams to visualize regression calibration properties: Reliability Regression diagram to visualize calibration for different quantile levels (preferred - ...

It is a sign of regression. It confuses harmony with homogeneity, and respect with restraint. Apologies should never be a legal strategy. And speech should not need blessings to be legitimate.

Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...