Training a One-Dimensional Classifier to Minimize the Probability of Error.
Gustav N. WasselJack SklanskyPublished in: IEEE Trans. Syst. Man Cybern. (1972)
Keyphrases
- training set
- training process
- training examples
- training samples
- minimum error
- supervised training
- training data
- labeled training data
- training error
- training phase
- multi layer perceptron
- class membership
- error rate
- classifier training
- expected error
- feature space
- training algorithm
- discriminative classifiers
- confidence levels
- bias variance decomposition
- feature selection
- training dataset
- generalization error
- supervised learning
- boosted classifiers
- support vector
- bayes rule
- active learning
- labeled instances
- multi dimensional
- class labels
- svm classifier
- classification algorithm
- text classifiers
- object detectors
- learning stage
- feature set
- training set size
- linear svm
- classification performances
- error probability
- avoid overfitting
- machine learning