Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix.
Sarunas RaudysRobert P. W. DuinPublished in: Pattern Recognit. Lett. (1998)
Keyphrases
- classification error
- linear classifiers
- generalization error
- sparse codes
- hyperparameters
- model selection
- cross validation
- training set
- upper bound
- sample size
- active learning
- learning algorithm
- hyperplane
- training data
- training samples
- class labels
- multi class
- decision rules
- image classification
- supervised learning
- sparse coding
- closed form
- maximum likelihood
- machine learning
- estimation error
- support vector
- random sampling
- bayesian framework
- data sets
- noise level
- incremental learning
- decision trees
- maximum a posteriori