Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding.
Himanshu AggarwalLiza Al-ShikhleyBertrand ThirionPublished in: CoRR (2024)
Keyphrases
- ensemble learning
- generalization ability
- ensemble methods
- random forest
- data sets
- data analysis
- ensemble classifier
- mutual subspace method
- weak learners
- concept drift
- learning algorithm
- base classifiers
- semi supervised learning
- feature selection
- prediction accuracy
- training examples
- training samples
- unlabeled data
- active learning
- pattern recognition