Parallel Classification with Two-Stage Bagging Classifiers.
Verena Christina HorakTobias BerkaMarián VajtersicPublished in: Comput. Informatics (2013)
Keyphrases
- decision trees
- majority voting
- ensemble classifier
- training set
- individual classifiers
- classification systems
- support vector
- decision tree classifiers
- classification algorithm
- classification models
- accurate classifiers
- svm classifier
- multiple classifiers
- machine learning
- ensemble learning
- ensemble classification
- classification rate
- classification accuracy
- randomized trees
- classifier ensemble
- imbalanced data
- classification method
- supervised classification
- classifier combination
- training samples
- weak classifiers
- feature set
- accurate classification
- training data
- classification process
- support vector machine
- machine learning methods
- decision boundary
- class labels
- machine learning algorithms
- meta learning
- feature selection
- multiclass classification
- k nearest neighbour
- classification decisions
- nearest neighbor classifiers
- rule based classifier
- generalization ability
- ensemble methods
- naive bayes
- image classification
- supervised learning
- feature extraction
- multiple classifier systems
- support vector machine svm
- probabilistic classifiers
- learning algorithm
- learning machines
- random forests
- benchmark datasets
- optimum path forest
- multi category
- feature vectors