How to Prove the Optimized Values of Hyperparameters for Particle Swarm Optimization?
Abel C. H. ChenPublished in: CoRR (2023)
Keyphrases
- hyperparameters
- particle swarm optimization
- model selection
- closed form
- cross validation
- bayesian inference
- bayesian framework
- prior information
- random sampling
- maximum likelihood
- em algorithm
- support vector
- incomplete data
- gaussian processes
- gaussian process
- noise level
- maximum a posteriori
- sample size
- incremental learning
- parameter values
- missing values
- machine learning
- parameter space
- differential evolution
- noisy images
- genetic algorithm ga
- generative model
- prior knowledge
- learning algorithm