Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers.
Diem PhamBinh TranSu NguyenDamminda AlahakoonPublished in: IEEE Access (2020)
Keyphrases
- learning algorithm
- training data
- machine learning algorithms
- training examples
- training samples
- classification algorithm
- machine learning
- learning machines
- decision trees
- machine learning methods
- training set
- linear classifiers
- swarm intelligence
- learning scheme
- supervised learning algorithms
- boosting framework
- augmented naive bayes
- generalization ability
- supervised classification
- neural network
- test set
- active learning
- naive bayes
- supervised learning
- support vector
- multi class
- co training
- generalization error
- classification models
- learning problems
- particle swarm optimization
- logistic regression
- classification rules
- back propagation
- ensemble classifier
- classifier combination
- reinforcement learning
- decision stumps
- bayesian networks
- data sets