AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
Wei FanKunpeng LiuHao LiuPengyang WangYong GeYanjie FuPublished in: ICDM (2020)
Keyphrases
- reinforcement learning
- feature selection
- semi automated
- user friendly
- machine learning
- optimal policy
- feature extraction
- function approximation
- mutual information
- user interaction
- model free
- text categorization
- unsupervised learning
- feature set
- text classification
- feature selection algorithms
- multi agent
- information gain
- support vector
- classification accuracy
- classification models
- feature subset
- support vector machine
- computer graphics
- supervised learning
- model selection
- unsupervised feature selection
- small sample
- policy search
- method for feature selection
- ensemble feature selection
- multi task
- fully automated
- microarray data
- gene expression data
- transfer learning
- virtual reality
- multi class