A Review on Multi-Label Learning Algorithms ((Zhang~2013))

1. What is Multi-Label Learning? Definition & Motivation Traditional supervised learning deals with each instance having exactly one label: x∈Xx \in Xx∈X, y∈Yy \in Yy∈Y. Lamda+1 In multi-label learning, each instance x∈Xx \in Xx∈X is associated wit...