Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Persistent depression following transient ischemic attack is associated with a 4-fold increase in 5-year all-cause mortality and higher disability.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...