Kernel methods for fMRI pattern prediction.
Yizhao NiCarlton ChuCraig SaundersJohn AshburnerPublished in: IJCNN (2008)
Keyphrases
- kernel methods
- kernel function
- learning problems
- kernel matrix
- support vector
- machine learning
- prediction accuracy
- feature space
- support vector machine
- learning tasks
- reproducing kernel hilbert space
- similarity function
- kernel ridge regression
- data analysis
- human brain
- prediction model
- kernel trick
- high dimensional feature space
- learning frameworks
- kernel fisher discriminant analysis
- data mining
- kernel pca
- functional magnetic resonance imaging
- pattern classification
- knn
- data sets
- kernel based clustering