2023
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)
AAAI 2023technical
Feature selection (FS) is a crucial procedure in machine learning pipelines for its significant benefits in removing data redundancy and mitigating model overfitting. Since concept drift is a widespread phenomenon in streaming data and could severely affect model performance, effective FS on concept…