Concept of Multiple Instance Learning (MIL)

In the field of machine learning, Multiple Instance Learning (MIL) is a paradigm that expands upon traditional supervised learning. MIL differs from conventional supervised learning, where each training instance is individually labeled. Instead, MIL operates on sets of instances called bags, with each bag associated with a single label. The objective is to develop a model that can effectively classify unseen bags based on their content. MIL has attracted considerable attention due to its capacit...