Developments in Probabilistic Modelling with Neural Networks - Ensemble Learning.
David J. C. MacKayPublished in: SNN Symposium on Neural Networks (1995)
Keyphrases
- ensemble learning
- neural network
- ensemble methods
- generalization ability
- random forest
- pattern recognition
- negative correlation learning
- artificial neural networks
- weak learners
- ensemble classifier
- bayesian networks
- probabilistic model
- fuzzy logic
- mutual subspace method
- neural network model
- bp neural network
- base classifiers
- genetic algorithm
- data sets
- concept drift
- decision trees
- support vector
- back propagation
- benchmark datasets
- evolutionary algorithm