On the Size of Training Set and the Benefit from Ensemble.
Zhi-Hua ZhouDan WeiGang LiHonghua DaiPublished in: PAKDD (2004)
Keyphrases
- training set
- training data
- active learning
- base classifiers
- supervised learning
- test set
- feature space
- data sets
- training set size
- support vector machine
- nearest neighbor
- neural network
- training examples
- classification accuracy
- multi class
- test data
- ensemble learning
- test images
- computational complexity
- classification error
- small size
- decision trees
- face images
- cross validation
- random forest
- positive examples