Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics.
Nebojsa BacaninTimea BezdanEva TubaIvana StrumbergerMilan TubaPublished in: Algorithms (2020)
Keyphrases
- swarm intelligence
- hyperparameters
- convolutional neural network
- particle swarm optimization
- nature inspired
- model selection
- ant colony optimization
- cross validation
- closed form
- bayesian inference
- random sampling
- bayesian framework
- support vector
- face detection
- prior information
- metaheuristic
- em algorithm
- noise level
- particle swarm optimization pso
- maximum a posteriori
- sample size
- evolutionary computation
- maximum likelihood
- ant colonies
- computational intelligence
- incremental learning
- genetic algorithm
- neural network
- social behavior
- incomplete data
- multi objective
- social insects
- simulated annealing
- artificial bee colony
- swarm optimization
- combinatorial optimization
- parameter space
- optimization problems
- parameter settings
- missing values
- collective behavior
- object detection
- active learning
- swarm robotics
- computer vision
- data mining