11 citations · 17 across the 4 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 2 cited
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop
Wei Fan, Kunpeng Liu, Hao Liu +3
We study the problem of balancing effectiveness and efficiency in automated feature selection. After exploring many feature selection methods, we observe a computational dilemma: 1…
cs.LG2020★ 4 cited
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
Wei Fan, Kunpeng Liu, Hao Liu +3
In this paper, we study the problem of balancing effectiveness and efficiency in automated feature selection. Feature selection is a fundamental intelligence for machine learning a…