Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification.
Frederic T. StahlDavid MayMax BramerPublished in: SGAI Conf. (2012)
Keyphrases
- computationally efficient
- classification accuracy
- pattern recognition
- decision trees
- automatic classification
- feature selection
- classification systems
- support vector
- final classification
- classifier ensemble
- training set
- support vector machine
- pattern classification
- classification rules
- training samples
- feature space
- majority voting
- feature extraction
- feature set
- image classification
- machine learning
- preprocessing
- support vector machine svm
- cross validation
- training data
- e learning
- classification scheme
- text classification
- base learners
- wrapper feature selection
- random forests
- generalization ability
- parallel processing
- benchmark datasets
- supervised learning
- computational complexity
- data streams
- learning algorithm