Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection.
Mohsen PaniriMohammad Bagher DowlatshahiHossein Nezamabadi-pourPublished in: Swarm Evol. Comput. (2021)
Keyphrases
- ant colony optimization
- temporal difference
- multi label
- text categorization
- reinforcement learning
- feature selection
- td learning
- text classification
- function approximation
- ant colony
- swarm intelligence
- learning tasks
- metaheuristic
- reinforcement learning algorithms
- temporal difference learning
- evaluation function
- ant colonies
- model free
- aco algorithm
- artificial ants
- particle swarm optimization
- monte carlo
- policy evaluation
- action selection
- naive bayes
- machine learning
- step size
- graph cuts
- td methods
- state space
- feature space
- genetic algorithm
- policy iteration
- function approximators
- image classification
- support vector
- class labels
- model selection
- particle swarm optimization pso
- transfer learning
- learning algorithm
- dynamic programming
- knn
- supervised learning
- feature set
- optimization problems
- text mining
- k nearest neighbor
- semi supervised learning
- optimal policy
- cost function
- evolutionary algorithm
- pairwise
- learning problems
- objective function
- markov decision processes
- temporal difference methods