Sample aware embedded feature selection for reinforcement learning.
Steven LoscalzoRobert William WrightKevin AcuntoLei YuPublished in: GECCO (2012)
Keyphrases
- feature selection
- reinforcement learning
- small sample
- machine learning
- embedded systems
- multi class
- feature extraction
- text categorization
- feature selection algorithms
- function approximation
- text classification
- support vector
- mutual information
- sample size
- high dimensionality
- state space
- method for feature selection
- sample points
- unsupervised learning
- optimal policy
- reinforcement learning algorithms
- feature set
- irrelevant features
- selected features
- information gain
- model selection
- dimensionality reduction
- dynamic programming
- microarray data
- learning process
- markov decision processes
- genetic algorithm ga
- neural network
- knn
- unsupervised feature selection