New publication – How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?
Piotr Szymański, Tomasz Kajdanowicz and Kristian Kersting published an article entitled “How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?”. Abstract: We propose using five data-driven community detection approaches from social networks to partition the label space in the task of multi-label classification as