Dynamic frequency feature selection based approach for classification of motor imageries.
Jing LuoZuren FengJun ZhangNa LuPublished in: Comput. Biol. Medicine (2016)
Keyphrases
- feature selection
- classification accuracy
- machine learning
- support vector
- feature extraction
- feature set
- pattern recognition
- accurate classification
- text classification
- classification models
- data pre processing
- feature space
- high dimensionality
- feature subset selection
- method for feature selection
- web page classification
- discriminative features
- feature selection algorithms
- select relevant features
- bayes classifier
- text categorization
- control system
- model selection
- supervised learning
- automatic classification
- support vector machine
- small sample
- feature ranking
- class separability
- preprocessing
- decision trees
- feature subset
- selecting relevant features
- unsupervised learning
- support vector machine svm
- neural network
- unsupervised feature selection
- feature reduction
- feature vectors
- conditional mutual information
- irrelevant features
- multi class
- bayesian classifier
- feature weighting
- selected features
- mutual information
- image classification
- classification method
- classification algorithm
- svm classifier