iROVER: Improving System Combination with Classification.
Dustin HillardBjörn HoffmeisterMari OstendorfRalf SchlüterHermann NeyPublished in: HLT-NAACL (Short Papers) (2007)
Keyphrases
- pattern classification
- image classification
- support vector
- pattern recognition
- feature extraction
- classification systems
- feature selection
- decision trees
- classification scheme
- classification accuracy
- svm classifier
- unsupervised learning
- classification decisions
- classification algorithm
- benchmark datasets
- feature set
- machine learning
- supervised learning
- feature vectors
- artificial neural networks
- data sets
- learning vector quantization
- multiple classifier systems
- classification process
- training data
- automatic classification
- classification models
- cost sensitive
- classification rules
- machine learning methods
- class labels
- rough sets
- support vector machine svm
- dimensionality reduction
- text classification