Training of multiple classifier systems utilizing partially labeled sequential data sets.
Martin SchelsPatrick SchillingerFriedhelm SchwenkerPublished in: ESANN (2011)
Keyphrases
- fully labeled
- data sets
- multiple classifier systems
- partially labeled
- semi supervised
- training set
- machine learning
- text classification
- neural network
- classifier combination
- classification systems
- test set
- semi supervised learning
- pattern recognition
- training data
- labeled data
- supervised learning
- support vector machine
- image segmentation
- feature selection