Convex Formulation of Multiple Instance Learning from Positive and Unlabeled Bags

Han Bao, Tomoya Sakai, Issei Sato +1

Multiple instance learning (MIL) is a variation of traditional supervised learning problems where data (referred to as bags) are composed of sub-elements (referred to as instances)…