Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers

Daiki Suehiro, Kohei Hatano, Eiji Takimoto +3

We propose a new formulation of Multiple-Instance Learning (MIL). In typical MIL settings, a unit of data is given as a set of instances called a bag and the goal is to find a good…