On the use of metaheuristics in hyperparameters optimization of gaussian processes.
Pramudita Satria PalarLavi Rizki ZuhalKoji ShimoyamaPublished in: GECCO (Companion) (2019)
Keyphrases
- gaussian processes
- hyperparameters
- gaussian process
- model selection
- covariance function
- cross validation
- closed form
- bayesian inference
- bayesian framework
- support vector
- random sampling
- gaussian process regression
- em algorithm
- prior information
- incremental learning
- maximum likelihood
- sample size
- maximum a posteriori
- bayesian methods
- noise level
- incomplete data
- parameter space
- multi task
- expectation maximization
- data sets
- regression model
- simulated annealing
- supervised learning
- prior knowledge
- multiscale
- machine learning