AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
Wei FanKunpeng LiuHao LiuPengyang WangYong GeYanjie FuPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- feature selection
- text categorization
- machine learning
- function approximation
- feature set
- fully automated
- semi automated
- computer graphics
- model free
- optimal control
- text classification
- mutual information
- support vector machine
- state space
- classification accuracy
- virtual reality
- information gain
- data sets
- multi agent
- microarray data
- feature selection algorithms
- computer aided
- data analysis
- method for feature selection
- irrelevant features
- discriminative features
- multi task
- selected features
- ensemble feature selection
- feature subset
- user friendly
- naive bayes
- user interaction
- unsupervised learning
- multi class
- active learning
- training set
- decision trees