Parallel Classification System based on an Ensemble of Mixture of Experts.
Benjamín Moreno-MontielRené MacKinney-RomeroPublished in: ICPRAM (2014)
Keyphrases
- feature vectors
- automatic classification
- classification accuracy
- text classification
- feature selection
- classifier ensemble
- pattern recognition
- decision trees
- pattern classification
- parallel processing
- machine learning methods
- machine learning
- final classification
- binary classification problems
- classification algorithm
- training data
- support vector
- training set
- unsupervised learning
- classification models
- neural network
- weak learners
- majority voting
- regression problems
- classification systems
- feature space
- ensemble learning
- generalization ability
- support vector machine
- expectation maximization
- model selection
- svm classifier
- class labels
- benchmark datasets
- support vector machine svm
- mixture model