Comparing Combination Rules of Pairwise Neural Networks Classifiers.
Olivier LezorayHubert CardotPublished in: Neural Process. Lett. (2008)
Keyphrases
- pairwise
- neural network
- learning classifier systems
- rule extraction
- learning rules
- classifier combination
- support vector
- multiple classifier systems
- classification decisions
- training data
- associative classifiers
- trained neural networks
- pairwise classification
- rule induction algorithm
- multi class
- pattern recognition
- markov random field
- similarity measure
- neural networks and support vector machines
- feature selection
- association rule mining
- rule sets
- genetic algorithm
- multiple classifiers
- ensemble learning
- loss function
- decision trees
- training samples
- back propagation
- machine learning algorithms
- neuro fuzzy systems
- training set
- association rules
- neural nets
- induction algorithms
- naive bayes
- test set
- feature set
- semi supervised
- fuzzy decision trees
- combining classifiers
- artificial neural networks
- feature extraction