Small Sample Inference for Generalization Error in Classification Using the CUD Bound.
Eric B. LaberSusan A. MurphyPublished in: UAI (2008)
Keyphrases
- small sample
- generalization error
- sample size
- upper bound
- model selection
- cross validation
- generalization error bounds
- training set
- support vector machine
- training data
- pattern recognition
- supervised learning
- active learning
- classification accuracy
- training error
- decision trees
- feature selection
- high dimensional
- worst case
- random sampling
- vc dimension
- machine learning
- unlabeled data
- feature selection algorithms
- support vector machine svm
- high dimensionality
- ls svm
- support vector
- feature extraction