Random forest classification for brain computer interface applications.
Hatice OkumusOnder AydemirPublished in: SIU (2017)
Keyphrases
- random forest
- brain computer interface
- decision trees
- motor imagery
- feature set
- fold cross validation
- eeg signals
- random forests
- classification accuracy
- decision tree learning algorithms
- feature selection
- eeg data
- single trial
- multi label
- pattern recognition
- ensemble classifier
- feature vectors
- benchmark datasets
- support vector machine svm
- ensemble methods
- training set
- text classification
- data sets
- class labels
- support vector machine
- semi supervised
- ensemble learning
- base classifiers
- brain activity
- machine learning methods
- image processing
- brain signals
- decision tree learning algorithm
- test cases