Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.
Denis A. EngemannAlexandre GramfortPublished in: NeuroImage (2015)
Keyphrases
- model selection
- eeg signals
- parameter estimation
- brain activity
- brain signals
- cross validation
- error estimation
- selection criterion
- brain computer interface
- hyperparameters
- bayesian learning
- regression model
- sample size
- machine learning
- motor imagery
- signal processing
- event related
- mixture model
- gaussian process
- model selection criteria
- automatic model selection
- data sets
- generalization error
- eeg data
- variable selection
- information criterion
- feature selection
- extracted features
- independent component analysis
- marginal likelihood
- image processing
- bayesian model selection
- training data
- parameter determination
- data mining