Minimax strategies for training classifiers under unknown priors.
Rocío Alaíz-RodríguezJesús Cid-SueiroPublished in: NNSP (2002)
Keyphrases
- training set
- training examples
- test set
- training samples
- trained classifiers
- training data
- classifier training
- discriminative classifiers
- boosted classifiers
- decision trees
- supervised training
- feature selection
- supervised learning
- training process
- sufficient training data
- class labels
- training and testing data
- linear svm
- training set size
- labeled images
- feature selection and classifier
- labeled training data
- training phase
- prior information
- classification algorithm
- active learning
- support vector
- classifier combination
- learning machines
- multi layer perceptron
- classification performances
- maximum a posteriori
- neural network