Evaluating the Performance of Three Feature Sets for Brain-Computer Interfaces with an Early Stopping MLP Committee.
Markus VarstaJukka HeikkonenJosé del R. MillánJosep MouriñoPublished in: ICPR (2000)
Keyphrases
- feature set
- brain computer interface
- early stopping
- feature selection
- random forest
- feature vectors
- feature space
- feature extraction
- classification accuracy
- neural network
- support vector machine
- eeg data
- signal processing
- eeg signals
- classification models
- evoked potentials
- boosting algorithms
- multiple features
- brain signals
- spinal cord injury
- kernel function
- extracted features
- base classifiers
- principal components
- structural features
- class labels
- data sets
- principal component analysis
- active learning
- image retrieval