Multi-Task Learning Based on Support Vector Machines and Twin Support Vector Machines: A Comprehensive Survey

A new survey highlights the importance of Multi-task Learning (MTL) using Support Vector Machines (SVMs) and Twin SVMs, emphasizing their effectiveness in scenarios with limited data. While deep learning has taken the spotlight, this research showcases how SVMs and TWSVMs can still provide valuable insights due to their interpretability and robustness. This matters because it opens up avenues for improving machine learning models in challenging environments, making them more accessible and efficient.