Merging Classifiers of Different Classification Approaches.
Antonina DanylenkoWelf LöwePublished in: ICDM Workshops (2014)
Keyphrases
- machine learning methods
- machine learning approaches
- neural networks and support vector machines
- machine learning algorithms
- support vector
- classification systems
- decision trees
- multiple classifier systems
- feature selection
- classification schemes
- classification accuracy
- classification rate
- multiple classifiers
- class labels
- classification process
- classification models
- accurate classification
- svm classifier
- training set
- classification algorithm
- classification method
- classifier combination
- machine learning
- improves the classification accuracy
- supervised classification
- probabilistic classifiers
- multi category
- classification procedure
- final classification
- pattern recognition
- training data
- optimum path forest
- discriminative classifiers
- supervised classifiers
- decision boundary
- binary classification problems
- feature extraction
- supervised learning
- feature set
- support vector machine svm
- classifier ensemble
- nearest neighbor classifier
- classification trees
- rule based classifier
- support vector machine
- classification decisions
- support vector machine classifiers
- multiclass classification
- binary classifiers
- discriminant functions
- image classification
- individual classifiers
- data stream classification
- roc curve
- majority voting
- associative classifiers
- classification scheme