AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.
Wei FanKunpeng LiuHao LiuAhmad HaririDejing DouYanjie FuPublished in: SDM (2021)
Keyphrases
- reinforcement learning
- feature selection
- text categorization
- machine learning
- multi agent
- function approximation
- fully automated
- mutual information
- semi automated
- model free
- user friendly
- virtual reality
- computer graphics
- text classification
- learning algorithm
- optimal policy
- high dimensionality
- reinforcement learning algorithms
- irrelevant features
- multi class
- support vector machine
- classification accuracy
- support vector
- model selection
- feature space
- learning process
- method for feature selection
- transition model
- feature extraction
- automated analysis
- feature ranking
- feature weighting
- selected features
- optimal control
- dynamic programming
- feature subset
- state space
- transfer learning
- feature set