Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Eric B. LaberSusan A. MurphyPublished in: CoRR (2012)
Keyphrases
- small sample
- generalization error
- sample size
- upper bound
- cross validation
- model selection
- generalization error bounds
- support vector machine
- supervised learning
- training set
- training error
- feature selection
- ls svm
- high dimensionality
- pattern recognition
- active learning
- vc dimension
- worst case
- lower bound
- neural network
- machine learning
- learning algorithm
- decision trees
- support vector
- reinforcement learning
- text classification
- fault diagnosis
- support vector machine svm
- classification accuracy
- feature vectors
- high dimensional