Investigating the effect of fixing the subset length on the performance of ant colony optimization for feature selection for supervised learning.
Nadia Abd-AlsabourPublished in: Comput. Electr. Eng. (2015)
Keyphrases
- ant colony optimization
- supervised learning
- feature selection
- ant colony
- metaheuristic
- swarm intelligence
- feature subset
- traveling salesman problem
- aco algorithm
- ant colonies
- combinatorial optimization problems
- artificial ants
- machine learning
- ant colony optimization algorithm
- particle swarm optimization
- function optimization
- ant colony algorithm
- aco algorithms
- nature inspired
- genetic algorithm
- hybrid algorithm
- nature inspired algorithms
- text categorization
- model selection
- training data
- feature space
- classification accuracy
- active learning
- particle swarm optimization pso
- text classification
- metaheuristic algorithms
- learning algorithm
- learning problems
- minimum spanning tree
- neural network
- foraging behavior
- training set
- semi supervised
- computational intelligence
- feature set
- simulated annealing
- global optimization
- learning tasks