the archive
#multi-label learning
2 resultscs.LG2019
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain
Ran Wang, Suhe Ye, Ke Li +1
The paper introduces a Bayesian network approach to discover label correlations and determine the label order for multi-label classifier chains, using conditional entropy and a heu…
#multi-label learning#classifier chains#bayesian networks#label correlation
cs.CL2019
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction
Hai Ye, Zhunchen Luo
The paper introduces a ranking‑based multi‑label learning framework with CNNs that leverages latent connections between relation classes (class ties) and uses cost‑sensitive learni…
#relation extraction#distant supervision#multi-label learning#class ties