Random forest classification for p300 based brain computer interface applications.
Faisal FarooqPreben KidmosePublished in: EUSIPCO (2013)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- cancer classification
- random forests
- decision tree learning algorithms
- feature importance
- classification accuracy
- benchmark datasets
- ensemble classifier
- ensemble methods
- multi label
- classification algorithm
- support vector machine svm
- feature selection
- feature vectors
- text classification
- support vector
- feature space
- supervised learning
- logistic regression
- machine learning
- machine learning algorithms
- image classification
- classification models
- ensemble learning
- motor imagery
- support vector machine
- class labels
- generalization ability
- gene selection
- feature extraction
- image segmentation
- image processing
- rotation forest
- unsupervised learning