Repeated Sampling to Improve Classifier Accuracy.
Jiangying ZhouDaniel P. LoprestiPublished in: MVA (1994)
Keyphrases
- improve the recognition accuracy
- high accuracy
- support vector
- learning algorithm
- leave one out cross validation
- monte carlo
- classification accuracy
- computational cost
- training samples
- error rate
- training data
- fold cross validation
- unseen data
- feature selection
- neural network
- feature space
- computational complexity
- prediction accuracy
- classification scheme
- high classification accuracy
- confusion matrix
- significantly improves the accuracy