A Weighted Ensemble Learning Algorithm Based on Diversity Using a Novel Particle Swarm Optimization Approach.
Gui-Rong YouYeou-Ren ShiueWei-Chang YehXi-Li ChenChih-Ming ChenPublished in: Algorithms (2020)
Keyphrases
- learning algorithm
- particle swarm optimization
- population diversity
- pso algorithm
- mining concept drifting data streams
- training data
- classifier ensemble
- multi objective
- machine learning algorithms
- premature convergence
- global optimization
- ensemble methods
- particle swarm optimization algorithm
- ensemble learning
- evolutionary algorithm
- particle swarm
- swarm intelligence
- generalization ability
- differential evolution
- supervised learning
- machine learning
- particle swarm optimization pso
- learning scheme
- convergence speed
- genetic algorithm
- augmented naive bayes
- active learning
- learning rate
- training examples
- ant colony optimization
- learning problems
- learning tasks
- generalization error
- random forests
- global search
- learning process
- reinforcement learning
- ensemble members
- ensemble feature selection
- machine learning methods
- base classifiers
- inertia weight
- pruning algorithm
- diversity measures