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20182021
most citedLearning Structured Declarative Rule Sets -- A Challenge for Deep Discrete Learning

3 citations · 5 across the 3 of their papers we have counts for

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cs.LG2018

Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz

Exploiting dependencies between labels is considered to be crucial for multi-label classification. Rules are able to expose label dependencies such as implications, subsumptions or…

cs.LG2018

Learning Interpretable Rules for Multi-label Classification

Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier +1

Multi-label classification (MLC) is a supervised learning problem in which, contrary to standard multiclass classification, an instance can be associated with several class labels…