A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study.
Jingwei TooSeyedali MirjaliliPublished in: Knowl. Based Syst. (2021)
Keyphrases
- learning algorithm
- case study
- computational cost
- incremental learning
- learning phase
- feature selection
- dynamic programming
- k means
- learning speed
- computational complexity
- learning problems
- worst case
- simulated annealing
- optimization algorithm
- detection algorithm
- search space
- np hard
- supervised learning
- matching algorithm
- markov blanket
- learning process
- reinforcement learning
- inductive inference
- support vector
- classification algorithm
- online learning
- probabilistic model
- mobile robot
- feature space
- cost function
- active learning
- evolutionary algorithm