Machine learning classifiers and fMRI: A tutorial overview.
Francisco PereiraTom M. MitchellMatthew BotvinickPublished in: NeuroImage (2009)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- application of machine learning methods
- supervised classification
- feature selection
- training data
- meta learning
- learning algorithm
- support vector
- naive bayes
- linear classifiers
- roc analysis
- inductive learning
- learning problems
- test set
- learning classifier systems
- data analysis
- multiple classifier systems
- text mining
- human brain
- learning tasks
- classification models
- model selection
- classification algorithm
- training examples
- text classification
- feature set
- functional magnetic resonance imaging
- activation detection
- statistical parametric mapping
- svm classifier
- class labels
- natural language processing
- training set
- data mining
- feature subset
- data sets
- weak classifiers
- computational intelligence
- multiple classifiers
- supervised learning
- event related
- artificial intelligence