Particle swarm optimisation for sparsity-based feature selection in multi-label classification.
Kaan DemirBach Hoai NguyenBing XueMengjie ZhangPublished in: GECCO Companion (2022)
Keyphrases
- particle swarm optimisation
- multi label classification
- feature selection
- text categorization
- multi label
- text classification
- multi class
- optimization algorithm
- optimisation problems
- semi supervised learning
- binary classification
- support vector
- pso algorithm
- image annotation
- fitness function
- genetic algorithm ga
- classification algorithm
- binary classifiers
- particle swarm optimization pso
- search capabilities
- knn
- learning tasks
- feature subset
- evolution strategy
- global optimization
- feature space
- classification accuracy
- feature set
- semi supervised
- unsupervised learning
- genetic algorithm
- particle swarm optimization
- feature extraction
- global search
- machine learning
- high dimensional
- multi objective
- image classification
- learning problems
- evolutionary computation
- evolutionary algorithm
- naive bayes
- neural network
- k nearest neighbor
- graph cuts
- image features