LNEMLC: Label Network Embeddings for Multi-Label Classification

7 Dec 2018Piotr SzymańskiTomasz KajdanowiczNitesh Chawla

Multi-label classification aims to classify instances with discrete non-exclusive labels. Most approaches on multi-label classification focus on effective adaptation or transformation of existing binary and multi-class learning approaches but fail in modelling the joint probability of labels or do not preserve generalization abilities for unseen label combinations... (read more)

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