Ensembling Classifiers Using Unsupervised Learning.
Marek BundzelPeter SincakPublished in: ICAISC (2008)
Keyphrases
- unsupervised learning
- supervised classification
- classifier ensemble
- individual classifiers
- supervised learning
- feature selection
- supervised training
- training data
- decision trees
- support vector
- training set
- classification systems
- semi supervised
- test set
- classifier combination
- machine learning algorithms
- semi supervised learning
- expectation maximization
- model selection
- object recognition
- feature set
- multiple classifiers
- base classifiers
- machine learning
- binary classifiers
- linear classifiers
- svm classifier
- high dimensional
- training examples
- naive bayes
- training samples
- dimensionality reduction
- probabilistic model
- maximum likelihood
- extracted features
- pattern recognition
- multi class
- reinforcement learning
- image segmentation
- computer vision
- data mining