Eiji Takimoto

Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning

In statistical learning, many problem formulations have been proposed so far, such as multi-class learning, complementarily labeled learning, multi-label learning, multi-task learning, which provide theoretical models for various real-world tasks. Although they have been extensively studied, the rel…