Understanding the Least Squares Criterion for Accurate Data Fitting

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.
C&EN

BiDir-GRCO: A Bidirectional General Reaction Conditions Optimization Framework Integrating Multi-Armed Bandit and Regression Model

School of Artificial Intelligence, Guangxi Minzu University, No. 188, Daxue East Road, Xixiangtang District, Guangxi, Nanning 530006, China Guangxi Key Laboratories of Hybrid Computation and IC Design ...
BMJ

Exercise based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
Searchenginejournal.com

Microsoft Adds Copilot Mode To Edge With Multi-Tab AI Analysis

Microsoft launches Copilot Mode in Edge, introducing multi-tab AI analysis, voice navigation, and more features in development. Copilot Mode brings AI tools to Microsoft's Edge browser Available tools ...
IEEE

Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting

Abstract: Accurate forecasting of agricultural commodity prices is critical for economic stability and strategic decision-making, yet remains challenging owing to nonlinear dynamics and multifactorial ...
marktechpost

Leveraging AI for Multi-Omics Analysis and Precision Medicine in Non-Small-Cell Lung Cancer NSCLC: Opportunities and Challenges

The Role of AI in Multi-Omics Analysis for NSCLC Treatment: The integrated multi-omics data analysis—including genomic, transcriptomic, proteomic, metabolomic, and interactomic data—has become ...
IEEE

A Hybrid Machine Learning and Regression Approach for Validating a Multi-Dimensional Crime Index in the Context of Crime Against Women

Abstract: Violence targeting women has endured since ancient times, encompassing a spectrum of offenses ranging from psychological anguish to physical and sexual assault. This study introduces a crime ...
Frontiers

Bayesian regression modeling and inference of energy efficiency data: the effect of collinearity and sensitivity analysis

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...