Simplified swarm optimization for hyperparameters of convolutional neural networks.
Wei-Chang YehYi-Ping LinYun-Chia LiangChyh-Ming LaiChia-Ling HuangPublished in: Comput. Ind. Eng. (2023)
Keyphrases
- hyperparameters
- swarm optimization
- convolutional neural networks
- model selection
- cross validation
- closed form
- bayesian inference
- bayesian framework
- support vector
- swarm intelligence
- random sampling
- em algorithm
- noise level
- prior information
- maximum likelihood
- incremental learning
- sample size
- maximum a posteriori
- particle swarm optimization pso
- incomplete data
- particle swarm optimization
- missing values
- pso algorithm
- parameter space
- ant colony optimization
- parameter optimization
- hybrid algorithm
- parameter settings
- active learning
- probabilistic model
- feature selection
- markov random field
- expectation maximization
- missing data
- error rate