Directed particle swarm optimization with Gaussian-process-based function forecasting.
Johannes JakubikAdrian BindingStefan FeuerriegelPublished in: CoRR (2021)
Keyphrases
- gaussian process
- particle swarm optimization
- covariance function
- gaussian processes
- gaussian process regression
- regression model
- bayesian framework
- model selection
- approximate inference
- sparse approximations
- semi supervised
- latent variables
- gaussian process classification
- expectation propagation
- hyperparameters
- gaussian process models
- genetic algorithm
- machine learning
- cross validation
- em algorithm
- probability distribution
- human pose estimation
- feature space
- marginal likelihood
- image segmentation