57 citations · 104 across the 7 of their papers we have counts for
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cs.LG2019★ 32 cited
Multi-Label Learning with Deep Forest
Liang Yang, Xi-Zhu Wu, Yuan Jiang +1
In multi-label learning, each instance is associated with multiple labels and the crucial task is how to leverage label correlations in building models. Deep neural network methods…
cs.LG2019
Forest Representation Learning Guided by Margin Distribution
Shen-Huan Lv, Liang Yang, Zhi-Hua Zhou
In this paper, we reformulate the forest representation learning approach as an additive model which boosts the augmented feature instead of the prediction. We substantially improv…