Optimal Feature Selection for Artifact Classification in EEG Time Series.
Vernon LawhernW. David HairstonKay RobbinsPublished in: HCI (24) (2013)
Keyphrases
- feature selection
- feature subset
- classification accuracy
- support vector
- classification models
- text classification
- feature subset selection
- feature space
- support vector machine
- feature extraction
- machine learning
- classification performances
- model selection
- discriminative features
- eeg signals
- feature selection algorithms
- dimension reduction
- feature set
- method for feature selection
- pattern recognition
- feature selection and classification
- motor imagery
- class separability
- dynamic time warping
- high dimensionality
- binary decision tree
- text categorization
- image classification
- non stationary
- decision trees
- support vector classification
- bayes classifier
- accurate classification
- irrelevant features
- support vector machine svm
- unsupervised learning
- sleep stage
- wrapper feature selection
- feature weighting
- data pre processing
- small sample
- classification method
- classification algorithm
- signal processing