Bootstrap re-sampling for unbalanced data in supervised learning.
Georges DupretMasato KodaPublished in: Eur. J. Oper. Res. (2001)
Keyphrases
- unbalanced data
- supervised learning
- training data
- unsupervised learning
- learning algorithm
- sample size
- training set
- labeled data
- multiple instance learning
- training samples
- learning problems
- support vector machine
- reinforcement learning
- random sampling
- learning tasks
- sampling methods
- training examples
- class distribution
- data sets
- generalization error
- class labels
- semi supervised
- feature extraction
- test set
- semi supervised learning
- ridge regression
- high dimensional