Label Distribution Learning (LDL) is a new learning paradigm to deal with label ambiguity and many researches have achieved the prominent performances. Compared with traditional supervised learning ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Active Learning has been referred to as many things, including “project-based learning” and “flipped classes.” The fundamental premise of active learning is the replacement of passive class time with ...

Active and Collaborative Learning Strategies The classic: think-pair-share Think-pair-share (TPS) is the black dress of active learning: a highly flexible tool that can take as little or as much time ...