Predicting EEG Sample Size Required for Classification Calibration.
Zijing MaoTzyy-Ping JungChin-Teng LinYufei HuangPublished in: HCI (13) (2016)
Keyphrases
- sample size
- small sample size
- model selection
- small sample
- small samples
- statistical tests
- random sampling
- eeg signals
- support vector machine
- upper bound
- covariance matrix
- classification accuracy
- feature vectors
- number of training samples
- feature space
- decision trees
- feature selection
- variance reduction
- pac learning
- training samples
- statistical power
- progressive sampling
- support vector
- support vector machine svm
- evolutionary algorithm
- worst case
- machine learning
- classification rules
- motor imagery
- association rules
- training set
- random sample
- eeg data
- supervised learning
- text classification
- regression problems
- vc dimension
- experimental design
- confidence intervals
- generalization error
- cross validation