Stable Classification in Environments with Varying Degrees of Uncertainty.
Andreas BuschermöhleNils RosemannWerner BrockmannPublished in: CIMCA/IAWTIC/ISE (2008)
Keyphrases
- varying degrees
- pattern recognition
- classification accuracy
- classification algorithm
- decision trees
- support vector
- automatic classification
- dynamic environments
- pattern classification
- classification method
- decision rules
- svm classifier
- support vector machine svm
- data sets
- classification scheme
- supervised classification
- benchmark data sets
- uncertain data
- document classification
- classification systems
- classification process
- training samples
- text classification
- image classification
- multi class
- support vector machine
- active learning
- feature vectors
- training set
- preprocessing
- real world
- neural network