Multi-Objective Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification.
Chenyi ZhangYu XueFerrante NeriXu CaiAdam SlowikPublished in: Int. J. Neural Syst. (2024)
Keyphrases
- multi objective
- particle swarm optimization
- feature selection
- classification accuracy
- support vector
- feature extraction
- optimization algorithm
- text classification
- genetic algorithm
- particle swarm
- feature selection algorithms
- particle swarm optimization algorithm
- evolutionary algorithm
- multi objective problems
- multi objective optimization
- swarm intelligence
- feature space
- pattern recognition
- machine learning
- support vector machine svm
- accurate classification
- feature subset selection
- classification models
- pso algorithm
- objective function
- unsupervised learning
- discriminative features
- multi class
- feature set
- decision trees
- irrelevant features
- support vector machine
- feature reduction
- feature subset
- dimensionality reduction
- small sample
- bayes classifier
- high dimensionality
- differential evolution
- classification method
- model selection
- classification algorithm
- feature selection and classification
- classification performances
- convergence speed
- global optimization
- ant colony optimization
- feature vectors
- selected features
- instance selection
- particle swarm optimization pso
- text categorization
- supervised learning
- high dimensional
- training data
- method for feature selection
- support vector classification