Deep Curious Feature Selection: A Recurrent, Intrinsic-Reward Reinforcement Learning Approach to Feature Selection.
Michal MoranGoren GordonPublished in: IEEE Trans. Artif. Intell. (2024)
Keyphrases
- feature selection
- reinforcement learning
- mutual information
- machine learning
- text categorization
- feature space
- knn
- high dimensionality
- feature subset
- text classification
- dimensionality reduction
- feature selection algorithms
- multi class
- selected features
- optimal control
- information gain
- feature weighting
- irrelevant features
- unsupervised learning
- feature set
- classification accuracy
- support vector
- optimal policy
- recurrent neural networks
- model selection
- supervised learning
- state space
- reward function
- reinforcement learning algorithms
- small sample
- forward selection