Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection.
Andrea CampagnerDavide CiucciPublished in: IPMU (2) (2022)
Keyphrases
- supervised feature selection
- genetic algorithm
- text classification
- unsupervised learning
- feature selection
- rough sets
- rough set theory
- neural network
- simulated annealing
- evolutionary algorithm
- feature relevance
- artificial neural networks
- differential evolution
- metaheuristic
- genetic programming
- optimization method
- supervised learning
- optimization algorithm
- fitness function
- fuzzy logic
- helmholtz principle
- high dimensional
- reinforcement learning
- image processing