However, acquiring accurately annotated datasets is typically costly and time-consuming, often requiring a pool of annotators with adequate domain expertise to manually label the data. Crowdsourcing has emerged as an efficient and cost-effective solution for annotating large datasets.

Unlike traditional regression models, MOR aims to simultaneously predict multiple real-valued outputs given an input.

Sparse ridge regression problems play a significant role across various domains.