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 ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques, and seek to deepen our understanding of existing ones. Machine learning provides the ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

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