Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging.
Vladimir KoltchinskiiManel Martínez-RamónStefan PossePublished in: NIPS (2004)
Keyphrases
- functional magnetic resonance imaging
- statistical parametric mapping
- ensemble learning
- human brain
- brain activity
- feature selection
- ensemble classifier
- human subjects
- training data
- weak classifiers
- feature set
- training set
- clinical diagnosis
- activation patterns
- support vector
- ensemble methods
- model selection
- supervised learning
- pattern recognition