Random forest-based similarity measures for multi-modal classification of Alzheimer's disease.
Katherine R. GrayPaul AljabarRolf A. HeckemannAlexander HammersDaniel RueckertPublished in: NeuroImage (2013)
Keyphrases
- multi modal
- random forest
- decision trees
- fold cross validation
- feature set
- cancer classification
- similarity measure
- random forests
- decision tree learning algorithms
- single modality
- classification accuracy
- multi modality
- feature vectors
- machine learning
- cross modal
- ensemble classifier
- classification models
- machine learning methods
- benchmark datasets
- class labels
- ensemble methods
- high dimensional
- support vector machine svm
- active learning
- image classification
- support vector
- feature extraction
- support vector machine
- feature space
- supervised learning