Aggregation techniques provide a means to summarise complex, high-dimensional datasets into reduced representations that retain essential information. In multidimensional contexts, data points often ...

Boosting encompasses a family of ensemble learning methods that build strong predictive models by iteratively combining a sequence of simple learners, or base-learners, each aimed at correcting the ...

Surface properties dictate a vast array of material characteristics that are crucial to performance, durability, and intended functionality across diverse industries. Properties such as friction, wear ...