Ensembling Classifiers - An application to image data classification from Cherenkov telescope experiment.
Praveen BoineeAlessandro De AngelisGian Luca ForestiPublished in: IEC (Prague) (2005)
Keyphrases
- image data
- classifier ensemble
- individual classifiers
- decision trees
- classification systems
- classification models
- supervised classification
- classification method
- classification algorithm
- support vector
- rule based classifier
- classification process
- feature selection
- probabilistic classifiers
- class labels
- classification procedure
- predictive accuracy
- multiple classifiers
- binary classifiers
- pattern recognition
- nearest neighbor classifier
- classification rate
- classifier combination
- final classification
- combining classifiers
- classification decisions
- machine learning algorithms
- higher classification accuracy
- svm classifier
- training data
- improves the classification accuracy
- training set
- multiclass classification
- machine learning
- training samples
- classification accuracy
- decision boundary
- optimum path forest
- associative classifiers
- machine learning methods
- decision tree classifiers
- accurate classifiers
- support vector machine classifiers
- classification schemes
- multiple classifier systems
- multi category
- base classifiers
- accurate classification
- feature vectors
- data stream classification
- feature extraction
- support vector machine svm
- text classification
- ensemble classifier
- correctly classified
- feature set
- support vector machine
- majority voting
- k nearest neighbour
- image classification
- discriminant functions
- discriminative classifiers
- classification rules
- benchmark datasets
- multi layer perceptron
- feature space
- sufficient training data