Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection.
Xueqiang ZengGang LuoPublished in: Health Inf. Sci. Syst. (2017)
Keyphrases
- model selection
- machine learning
- bayesian learning
- cross validation
- covariate shift
- statistical inference
- hyperparameters
- marginal likelihood
- bayesian model selection
- statistical learning
- parameter estimation
- sample size
- regression model
- bayesian methods
- bayesian approaches
- learning machines
- selection criterion
- meta learning
- gaussian process
- posterior distribution
- error estimation
- mixture model
- unsupervised learning
- feature selection
- model selection criteria
- parameter determination
- learning algorithm
- variable selection
- generalization error
- learning tasks
- gaussian processes
- kernel machines
- leave one out cross validation
- machine learning methods
- support vector machine
- support vector
- bayesian networks
- automatic model selection