A random forest system combination approach for error detection in digital dictionaries.
Michael BloodgoodPeng YePaul RodriguesDavid M. ZajicDavid S. DoermannPublished in: CoRR (2014)
Keyphrases
- random forest
- error detection
- error correction
- random forests
- decision trees
- ensemble methods
- feature set
- feature importance
- fault isolation
- ensemble learning
- decision tree learning algorithms
- fault tolerance
- multi label
- sparse representation
- fold cross validation
- computer vision
- data sets
- machine learning methods
- k nearest neighbor
- ensemble classifier
- feature vectors
- image segmentation
- machine learning