Classification with Costly Features using Deep Reinforcement Learning.
Jaromír JanischTomás PevnýViliam LisýPublished in: CoRR (2017)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- reinforcement learning
- classification method
- feature set
- classification process
- classification models
- feature space
- extracted features
- feature analysis
- benchmark datasets
- extracting features
- text classification
- classification scheme
- pattern recognition
- machine learning
- eeg signals
- supervised learning
- co occurrence
- gender classification
- feature subset
- feature selection
- support vector machine svm
- class labels
- high dimensionality
- feature extraction and classification
- feature representation
- automatic classification
- pattern classification
- feature reduction
- false positives
- image classification
- image features
- support vector machine
- svm classifier
- low level
- decision trees
- data sets
- decision tree classifiers
- neural network
- learning algorithm
- irrelevant features
- feature construction
- training data
- discriminative features
- support vector
- object recognition
- multiple features
- preprocessing
- state space