5 papers
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
Wanfu Gao, Hanlin Pan, Qingqi Han +1
The "Curse of dimensionality" is prevalent across various data patterns, which increases the risk of model overfitting and leads to a decline in model classification performance. H…
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
Wanfu Gao, Jun Gao, Qingqi Han +2
The rapid growth in feature dimension may introduce implicit associations between features and labels in multi-label datasets, making the relationships between features and labels…
Two-Stage Feature Generation with Transformer and Reinforcement Learning
Wanfu Gao, Zengyao Man, Zebin He +3
Feature generation is a critical step in machine learning, aiming to enhance model performance by capturing complex relationships within the data and generating meaningful new feat…
Dual-Agent Reinforcement Learning for Automated Feature Generation
Wanfu Gao, Zengyao Man, Hanlin Pan +1
Feature generation involves creating new features from raw data to capture complex relationships among the original features, improving model robustness and machine learning perfor…
Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator
Bing Wang, Bingrui Zhao, Ximing Li +3
Over the past decade, social media platforms have been key in spreading rumors, leading to significant negative impacts. To counter this, the community has developed various Rumor…