Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning.
Jairo Rojas-DelgadoVladimir Milián NúñezRafael A. Trujillo-RasúaRafael BelloPublished in: CIARP (2019)
Keyphrases
- particle swarm optimization
- hyperparameters
- parameter settings
- pso algorithm
- model selection
- bayesian inference
- multi objective
- closed form
- cross validation
- differential evolution
- particle swarm optimization pso
- random sampling
- prior information
- maximum a posteriori
- bayesian framework
- em algorithm
- maximum likelihood
- support vector
- missing values
- machine learning
- incremental learning
- genetic algorithm