Expected Classification Error of the Euclidean Linear Classifier under Sudden Concept Drift.
Indre ZliobaitePublished in: FSKD (2) (2008)
Keyphrases
- concept drift
- classification error
- linear classifiers
- generalization error
- sparse codes
- hyperparameters
- data streams
- training set
- cross validation
- model selection
- classification algorithm
- active learning
- upper bound
- learning algorithm
- data distribution
- sample size
- training samples
- supervised learning
- class labels
- training data
- decision rules
- hyperplane
- multi class
- closed form
- noise level
- bayesian inference
- machine learning
- support vector
- bayesian framework
- random sampling
- semi supervised