Multiple Instance Learning (MIL) is a paradigm within machine learning that addresses the challenge of weakly supervised data, where complete labels for individual instances are not available but are ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...