On using permutation tests to estimate the classification significance of functional magnetic resonance imaging data.
Mohammed Sadeq Al-RawiJoão Paulo da Silva CunhaPublished in: Neurocomputing (2012)
Keyphrases
- functional magnetic resonance imaging
- data analysis
- data sets
- permutation tests
- human brain
- correlation analysis
- image data
- statistical analysis
- statistical significance
- data points
- pattern recognition
- text classification
- information processing
- human subjects
- graphical models
- feature space
- labeled data
- training samples
- statistical methods
- support vector
- training data
- feature selection
- brain activity
- machine learning