Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...

Data on all known stable MAX phases were collected from experimental literature, and non-existent MAX phases were identified using existing first-principles results. Models such as the Random Forest ...