Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a machine ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...