Automatic tuning of hyperparameters using Bayesian optimization.
A. Helen VictoriaG. MaragathamPublished in: Evol. Syst. (2021)
Keyphrases
- hyperparameters
- posterior distribution
- bayesian inference
- model selection
- bayesian methods
- gaussian processes
- cross validation
- parameter optimization
- maximum likelihood
- grid search
- closed form
- random sampling
- bayesian framework
- parameter settings
- support vector
- gaussian process
- marginal likelihood
- em algorithm
- conjugate priors
- prior information
- incomplete data
- regularization parameter
- bayesian networks
- noise level
- probability distribution
- posterior probability
- maximum a posteriori
- sample size
- probabilistic model
- image denoising
- parameter estimation
- generative model
- gaussian process regression
- random search
- evolutionary algorithm
- objective function